Triple
T4039129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allie Caulfield |
E83899
|
entity |
| Predicate | timeOfDeathInNarrative |
P28556
|
FINISHED |
| Object | before main events of The Catcher in the Rye |
—
|
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: before main events of The Catcher in the Rye | Statement: [Allie Caulfield, timeOfDeathInNarrative, before main events of The Catcher in the Rye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDeathInNarrative Context triple: [Allie Caulfield, timeOfDeathInNarrative, before main events of The Catcher in the Rye]
-
A.
timeOfDeath
chosen
Indicates the specific time at which an entity (typically a person or organism) died.
-
B.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
-
C.
timeBetweenInjuryAndDeath
Indicates the duration of time that elapses between when an injury occurs and when death subsequently happens.
-
D.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
-
E.
discoveredAsDeadBy
Indicates that one entity was found to be dead by another entity, who discovered their deceased state.
- F. None of above.
Provenance (3 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb37e24c81908d6357ab8ba5388d |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.