Triple
T33406981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy |
E855461
|
entity |
| Predicate | filmDirectorOfFirstFilm |
P46167
|
FINISHED |
| Object | Gina Prince-Bythewood |
—
|
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: Gina Prince-Bythewood | Statement: [Andy, filmDirectorOfFirstFilm, Gina Prince-Bythewood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmDirectorOfFirstFilm Context triple: [Andy, filmDirectorOfFirstFilm, Gina Prince-Bythewood]
-
A.
featureDirectorialDebutOf
Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
-
B.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
C.
firstProductionDirector
Indicates that the object is the person who first served as production director for the subject.
-
D.
filmDirectorOfAssociatedWork
chosen
Indicates that a person serves as the director of the specified creative work (such as a film or related audiovisual production).
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.