Triple
T31405636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor for Pelle the Conqueror |
E801117
|
entity |
| Predicate | didWinCategory |
P171836
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Academy Award for Best Actor for Pelle the Conqueror, didWinCategory, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didWinCategory Context triple: [Academy Award for Best Actor for Pelle the Conqueror, didWinCategory, false]
-
A.
didSheWin
Indicates whether a specified female individual was victorious in a particular event, contest, or situation.
-
B.
marginOfVictoryCategory
Indicates the qualitative range or bracket into which the size of a victory’s point/score difference falls.
-
C.
winnerQualifiedAs
Indicates that an entity became eligible or advanced to a particular status, role, or stage by virtue of having won a preceding contest or selection process.
-
D.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
-
E.
hasWonCompetition
Indicates that an entity has achieved victory in a competition or contest against others.
- F. None of above. chosen
Provenance (4 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 8:31 p.m.