Triple
T6278844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabourey Sidibe as Claireece "Precious" Jones |
E140728
|
entity |
| Predicate | appearsInFilmYear |
P18082
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Gabourey Sidibe as Claireece "Precious" Jones, appearsInFilmYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFilmYear Context triple: [Gabourey Sidibe as Claireece "Precious" Jones, appearsInFilmYear, 2009]
-
A.
yearOfFilmAppearance
chosen
Indicates the specific year in which a film appearance by an entity took place.
-
B.
playedInYear
Indicates that an entity participated in or was active in a particular activity, event, or role during a specified calendar year.
-
C.
filmReleaseYear
Indicates the calendar year in which a film was first officially released to the public.
-
D.
theatricalReleaseIn
Indicates that a film or performance was released or shown theatrically in a specified location or market.
-
E.
associatedWithYearFilm
Indicates a relationship where something (such as an event, award, or record) is linked to or pertains to a specific film released or identified in a given year.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.