Triple
T21897925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Awards for The Silence of the Lambs |
E540727
|
entity |
| Predicate | oneOfFewBigFiveWinners |
P146097
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Academy Awards for The Silence of the Lambs, oneOfFewBigFiveWinners, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFewBigFiveWinners Context triple: [Academy Awards for The Silence of the Lambs, oneOfFewBigFiveWinners, true]
-
A.
isOneOfFewRidersToWinAllFiveMonuments
Indicates that the subject is among the very small number of cyclists who have won all five of cycling’s Monument one-day races.
-
B.
ownedWinnerOf
Indicates that an entity owns or possesses the winner of a specified competition, contest, or event.
-
C.
fifthWinner
Indicates that an entity is the one that achieved fifth place (the fifth winner) in a ranked competition or event.
-
D.
doubleWinner
Indicates that the same entity has won the relevant award, contest, or recognition twice.
-
E.
bearerAlsoWon
Indicates that the bearer of something (e.g., a title, award, or object) also won another specified competition, prize, or distinction.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc7c70c81908b9bb4de68616e41 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:07 p.m.