Triple
T23284311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doyle Brunson |
E588946
|
entity |
| Predicate | worldSeriesOfPokerBraceletCount |
P151695
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Doyle Brunson, worldSeriesOfPokerBraceletCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesOfPokerBraceletCount Context triple: [Doyle Brunson, worldSeriesOfPokerBraceletCount, 10]
-
A.
pgaChampionshipWinsCount
Indicates the number of times an entity has won the PGA Championship golf tournament.
-
B.
SECChampionships
Indicates the number of conference championships an entity has won in the Southeastern Conference (SEC).
-
C.
seriesChampionships
Indicates that an entity has won one or more championships in a particular series or league.
-
D.
totalPgaTourWins
Indicates the total number of PGA Tour event victories achieved by a given golfer.
-
E.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:58 p.m.