Triple
T35563012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Ray |
E1027685
|
entity |
| Predicate | isClosetedAtStartOfFilm |
P131402
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bobby Ray, isClosetedAtStartOfFilm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isClosetedAtStartOfFilm Context triple: [Bobby Ray, isClosetedAtStartOfFilm, true]
-
A.
worksForAtStartOfFilm
Indicates that one entity is employed by or working for another entity at the beginning of the film's narrative.
-
B.
statusAtStartOfFilm
chosen
Indicates the condition or situation an entity is in at the beginning of the film.
-
C.
beginsWithFilm
Indicates that one entity (typically a series, collection, or sequence) starts or is initiated with a particular film as its first element.
-
D.
legalStatusAtStartOfFilm
Indicates the legal condition or standing an entity has at the beginning of the film’s narrative.
-
E.
closureAsCinema
Indicates that a closure or ending event is being treated, presented, or conceptualized as a cinematic experience or as if it were a film.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.