Triple
T22406747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Hodges |
E553897
|
entity |
| Predicate | numberOfNBAThreePointContestTitles |
P7483
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Craig Hodges, numberOfNBAThreePointContestTitles, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNBAThreePointContestTitles Context triple: [Craig Hodges, numberOfNBAThreePointContestTitles, 3]
-
A.
NBAThreePointContestTitles
chosen
Indicates the number of NBA Three-Point Contest championship titles an entity has won.
-
B.
NBAThreePointContestTitleYears
Indicates the years in which a person won the NBA Three-Point Contest title.
-
C.
threePointContestHeld
Indicates that a three-point shooting contest event has taken place or been conducted.
-
D.
WNBAThreePointContestChampion
Indicates that an entity has won the WNBA Three-Point Contest in a given year or event.
-
E.
numberOfTimesAwardedNBAScoringTitle
Indicates the number of times an entity has been awarded the NBA scoring title.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b835e88190a388e19577df771e |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.