Triple
T34937515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour Glass |
E1007616
|
entity |
| Predicate | deathSceneDepictedIn |
P34448
|
FINISHED |
| Object | A Perfect Day for Bananafish |
—
|
NE NERFINISHED |
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: A Perfect Day for Bananafish | Statement: [Seymour Glass, deathSceneDepictedIn, A Perfect Day for Bananafish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathSceneDepictedIn Context triple: [Seymour Glass, deathSceneDepictedIn, A Perfect Day for Bananafish]
-
A.
deathSceneFeature
Indicates that a particular feature, element, or characteristic is present in the scene depicting a character’s death.
-
B.
deathSceneWork
chosen
Indicates that a creative work features or depicts the scene in which a character dies.
-
C.
massacreDepictedIn
Indicates that a particular massacre is represented, shown, or portrayed within a specific work, such as a text, image, or audiovisual medium.
-
D.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
-
E.
deathInShow
Indicates that a character dies within the events or storyline of a particular show.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4 p.m.