Triple
T31251821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Woman |
E796842
|
entity |
| Predicate | hasRelationshipToDirector |
P118003
|
FINISHED |
| Object | starredInByDirector |
—
|
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: starredInByDirector | Statement: [A Woman, hasRelationshipToDirector, starredInByDirector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipToDirector Context triple: [A Woman, hasRelationshipToDirector, starredInByDirector]
-
A.
belongsToDirectorFilmographyOf
Indicates that a film is part of the collection of works directed by a particular director (i.e., included in that director’s filmography).
-
B.
hasDirectorInKeyWork
Indicates that a director is associated with a key or primary work of an entity (such as a film, series, or major production).
-
C.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
-
D.
associatedWithDirectors
chosen
Indicates a direct relationship or connection between an entity and one or more film or project directors.
-
E.
hasAssociatedFranchiseViaDirector
Indicates that an entity is associated with a franchise through the involvement of a director who connects the entity to that franchise.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a01203ac018819085d7c9abd8345b23 |
completed | May 11, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_6a011f3f149c819090749722da0e3413 |
completed | May 11, 2026, 12:13 a.m. |
Created at: April 29, 2026, 9:11 p.m.