Triple
T22831770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Académie Goncourt |
E565820
|
entity |
| Predicate | genreOfAwardedWorks |
P13422
|
FINISHED |
| Object | prose fiction |
—
|
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: prose fiction | Statement: [Académie Goncourt, genreOfAwardedWorks, prose fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfAwardedWorks Context triple: [Académie Goncourt, genreOfAwardedWorks, prose fiction]
-
A.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
genreOfWorkContributedTo
Indicates that an entity contributed to a work belonging to a specified genre.
-
D.
genreOfWorkPerformedIn
Indicates that a specified genre characterizes the type of work that is performed in a particular event, context, or setting.
-
E.
genreOfAwards
chosen
Indicates the type or category of awards associated with a given work, event, or entity.
- 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.