Triple
T15794284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chess Oscar |
E382935
|
entity |
| Predicate | numberOfAwardsWonByAnatolyKarpov |
P3160
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Chess Oscar, numberOfAwardsWonByAnatolyKarpov, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAwardsWonByAnatolyKarpov Context triple: [Chess Oscar, numberOfAwardsWonByAnatolyKarpov, 9]
-
A.
RussianChampionshipWinner
Indicates that the subject is the winner of a Russian national championship in a specified field or competition.
-
B.
yearAwardedGrandmasterTitle
Indicates the specific year in which an entity was officially awarded the grandmaster title.
-
C.
numberOfOpponentsBeaten
Indicates the count of distinct opponents that an entity has successfully defeated.
-
D.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
E.
numberOfAwards
chosen
Indicates the total count of awards that have been received by an 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4db55308190875a04f982c44cea |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.