Structured fan databaseHan Li · Life Database · v1.1
What did Han Li do
across 1324 chapters?
A chapter-level, structured database for A Record of a Mortal's Journey to Immortality. This is not a novel reader. It is an analytical index of Han Li's cultivation life: battles, escapes, treasures, realms, relationships, and years spent in seclusion.
Method: chapter-level statistics · confidence-first extraction · estimated durations marked separately · 179 review items kept visible.
1324
Chapter records
SOURCE ROWS
Battle chapters
BATTLE CH.
Confirmed kill chapters
KILL CH.
410
Treasure chapters
TREASURE CH.
794yr
Estimated seclusion
SECLUSION YR
688.7
Seclusion · high-confidence years
794
Seclusion · estimated years
626
Seclusion · conservative ledger
1998
Atomic events
Realm progression
22 phasesFrom age 10 to 900+ in one curve
X-axis is chapter number; Y-axis is cultivation realm; cinnabar markers indicate major breakthroughs.
When was Han Li busiest?
Aggregated by chapter bucket. Darker cells mean denser event activity.
Battle
Treasure
Social
Secret realm
ch1ch330ch660ch990ch1324
Event type ranking
What does Han Li actually do?
Counts are based on atomic event extraction and include estimated records.
Treasure
885
0.59
Battle
482
0.60
Relationship
402
0.59
Secret realm
90
0.61
Seclusion
88
0.55
Other
30
0.67
Injury
18
0.64
Life timeline
1324
Browse by chapter
A structured event stream with filters for battles, treasures, danger, maps, relationships, and review state.
Open timeline
Read by cultivation phase
Each realm profile aggregates battles, kills, escapes, treasures, secret realms, relationships, and confidence.
Open realms
Events database1998
Search atomic records
Trace individual records back to chapter number, realm, event type, linked fields, and extraction quality.
Open events
About this database
The event table is generated from structured extraction over a local source text and contains 1998 atomic events. It exposes summaries, metadata, confidence, and methodology, but does not publish the original chapter text. See methodology and privacy & ads.