Triple
T9578610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Fuqua |
E231110
|
entity |
| Predicate | hasDirectedGenre |
P17472
|
FINISHED |
| Object | thriller film |
—
|
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: thriller film | Statement: [Antoine Fuqua, hasDirectedGenre, thriller film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectedGenre Context triple: [Antoine Fuqua, hasDirectedGenre, thriller film]
-
A.
genreOfWorkDirected
chosen
Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified genre.
-
B.
hasDirectedActor
Indicates that an entity has served as the director of another entity, such as a film, play, or production.
-
C.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
D.
strategyDirectedBy
Indicates that the development, implementation, or oversight of a strategy is guided or controlled by a specified directing entity.
-
E.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.