Triple
T9001270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sword Art Online |
E215043
|
entity |
| Predicate | deathGameRule |
P85634
|
FINISHED |
| Object | if a player dies in the game they die in real life |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: if a player dies in the game they die in real life | Statement: [Sword Art Online, deathGameRule, if a player dies in the game they die in real life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathGameRule Context triple: [Sword Art Online, deathGameRule, if a player dies in the game they die in real life]
-
A.
playedUnderRulesOf
Indicates that an activity or game was conducted in accordance with a specified set of rules or regulations.
-
B.
deathMethod
Indicates the specific way or means by which a death occurred.
-
C.
settingOfDeath
Indicates the specific place or environment in which an entity’s death occurred.
-
D.
gameLengthRule
Indicates a rule that specifies how long a game is allowed or required to last.
-
E.
deathTerritory
Indicates the territory or geographic area where a death occurred or is officially recorded.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.