Triple
T37128026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Willis as RJ |
E919439
|
entity |
| Predicate | characterMotivationInFilm |
P91485
|
FINISHED |
| Object | to repay a debt to Vincent the bear |
—
|
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: to repay a debt to Vincent the bear | Statement: [Bruce Willis as RJ, characterMotivationInFilm, to repay a debt to Vincent the bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterMotivationInFilm Context triple: [Bruce Willis as RJ, characterMotivationInFilm, to repay a debt to Vincent the bear]
-
A.
characterMotivation
chosen
Indicates the underlying reasons, desires, or goals that drive a character’s actions and decisions within a narrative.
-
B.
filmCharacterDescribedAs
Indicates that a film character is described or characterized using a particular attribute, phrase, or depiction.
-
C.
characterInspiration
Indicates that one entity serves as the creative or conceptual inspiration for the development or portrayal of another character.
-
D.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
-
E.
discussesCharacter
Indicates that one entity talks or writes about, analyzes, or otherwise addresses a particular character.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:15 p.m.