Triple
T22831779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Académie Goncourt |
E565820
|
entity |
| Predicate | mainAwardValue |
P75363
|
FINISHED |
| Object | prestige and sales impact |
—
|
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: prestige and sales impact | Statement: [Académie Goncourt, mainAwardValue, prestige and sales impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAwardValue Context triple: [Académie Goncourt, mainAwardValue, prestige and sales impact]
-
A.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
-
B.
mainAwardWinner
Indicates that the subject is the primary recipient of a specified award or honor.
-
C.
returnedAward
Indicates that an entity has given back or relinquished a previously received award to the awarding party or institution.
-
D.
isPrizedFor
chosen
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
E.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2bcad8819091f237fd2273a20c |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:34 p.m.