Triple
T26096869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for Possessed (1947 film) |
E658293
|
entity |
| Predicate | winnerOfCategory |
P111308
|
FINISHED |
| Object | Loretta Young for The Farmer's Daughter |
—
|
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: Loretta Young for The Farmer's Daughter | Statement: [Academy Award for Best Actress for Possessed (1947 film), winnerOfCategory, Loretta Young for The Farmer's Daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerOfCategory Context triple: [Academy Award for Best Actress for Possessed (1947 film), winnerOfCategory, Loretta Young for The Farmer's Daughter]
-
A.
competitionWinnerFor
Indicates that an entity is the winner of a specified competition or contest.
-
B.
generalClassificationWinner
Indicates that the subject is the overall winner in the general classification or overall standings of a competition or event.
-
C.
winnerType
Indicates the category or kind of winner associated with an event, competition, or outcome.
-
D.
winningPerformer
Indicates that the referenced performer is the one who achieved victory or first place in a particular competition, event, or contest.
-
E.
mainAwardWinner
chosen
Indicates that the subject is the primary recipient of a specified award or honor.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 26, 2026, 7:51 p.m.