Triple
T1392500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booker of Bookers |
E29990
|
entity |
| Predicate | winnerLanguage |
P28255
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Booker of Bookers, winnerLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerLanguage Context triple: [Booker of Bookers, winnerLanguage, English]
-
A.
awardNameLanguage
Indicates the language in which the name of an award is expressed.
-
B.
winnerState
Indicates the state or condition of an entity that has achieved victory or been declared the winner in a given context.
-
C.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
D.
wonBy
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
E.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c360a7f08190ab7e903764b06fdf |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c2f16ae081908c92792253f3eb4b |
completed | March 1, 2026, 10:51 p.m. |
Created at: March 1, 2026, 7:59 p.m.