Triple
T26729713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for Resurrection |
E673933
|
entity |
| Predicate | didNotWinAgainst |
P161611
|
FINISHED |
| Object | Sissy Spacek for Coal Miner’s Daughter |
—
|
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: Sissy Spacek for Coal Miner’s Daughter | Statement: [Academy Award for Best Actress for Resurrection, didNotWinAgainst, Sissy Spacek for Coal Miner’s Daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotWinAgainst Context triple: [Academy Award for Best Actress for Resurrection, didNotWinAgainst, Sissy Spacek for Coal Miner’s Daughter]
-
A.
didNotWinAgainst
chosen
Indicates that one entity competed against another and failed to achieve a victory over them.
-
B.
neverWonBy
Indicates that a particular entity has at no time in the past been the winner or recipient of something as a result of another specified entity.
-
C.
wonAgainst
Indicates that one entity achieved victory over another in a competition, conflict, or contest.
-
D.
didNotPlayInTournament
Indicates that the specified entity did not participate as a player in the referenced tournament.
-
E.
wasOpponentOf
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 3:44 a.m.