Triple
T34618849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for Farewell, My Lovely |
E888941
|
entity |
| Predicate | competingCategoryWinner |
P156475
|
FINISHED |
| Object | Lee Grant |
—
|
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: Lee Grant | Statement: [Academy Award for Best Supporting Actress for Farewell, My Lovely, competingCategoryWinner, Lee Grant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competingCategoryWinner Context triple: [Academy Award for Best Supporting Actress for Farewell, My Lovely, competingCategoryWinner, Lee Grant]
-
A.
competitionWinnerFor
chosen
Indicates that an entity is the winner of a specified competition or contest.
-
B.
competitorCategory
Indicates that two entities operate in the same competitive category or market segment, positioning them as rivals within that domain.
-
C.
competedInCategoryWith
Indicates that two or more entities participated in the same competitive category or division within a contest or event.
-
D.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
competitiveCategory
Indicates that two entities belong to the same market or activity segment in which they compete with one another.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 1, 2026, 2:03 a.m.