Triple
T22406803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Kapono |
E553898
|
entity |
| Predicate | NBAThreePointContestTitleYear |
P7484
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Jason Kapono, NBAThreePointContestTitleYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAThreePointContestTitleYear Context triple: [Jason Kapono, NBAThreePointContestTitleYear, 2007]
-
A.
NBAThreePointContestTitleYears
chosen
Indicates the years in which a person won the NBA Three-Point Contest title.
-
B.
NBAThreePointContestTitles
Indicates the number of NBA Three-Point Contest championship titles an entity has won.
-
C.
WNBAThreePointContestChampion
Indicates that an entity has won the WNBA Three-Point Contest in a given year or event.
-
D.
threePointContestHeld
Indicates that a three-point shooting contest event has taken place or been conducted.
-
E.
threePointPercentageLeader
Indicates that the subject holds the highest three-point field goal percentage within a specified group or competition.
- 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.