Triple
T32530283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for L.A. Confidential |
E831432
|
entity |
| Predicate | coStarsInWorkAwarded |
P14987
|
FINISHED |
| Object | Kevin Spacey |
—
|
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: Kevin Spacey | Statement: [Academy Award for Best Supporting Actress for L.A. Confidential, coStarsInWorkAwarded, Kevin Spacey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coStarsInWorkAwarded Context triple: [Academy Award for Best Supporting Actress for L.A. Confidential, coStarsInWorkAwarded, Kevin Spacey]
-
A.
notableCastWorkedWith
Indicates that there is a notable professional collaboration or working relationship between members of a cast.
-
B.
supportingActorOfWinningFilm
Indicates that an entity is a supporting actor in a film that has won a specified award or competition.
-
C.
co-star
chosen
Indicates that two or more performers appear together in the same production, sharing significant acting roles.
-
D.
notableWorkStar
Indicates that a particular work (such as a film, show, or production) is one of the notable works in which the specified star (person) prominently appears or performs.
-
E.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c51ba4248190b98f43a5866bab0d |
completed | May 3, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.