Triple
T1689941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Allen |
E36527
|
entity |
| Predicate | threePointShooterReputation |
P31359
|
FINISHED |
| Object | one of the greatest three-point shooters in NBA history |
—
|
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: one of the greatest three-point shooters in NBA history | Statement: [Ray Allen, threePointShooterReputation, one of the greatest three-point shooters in NBA history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threePointShooterReputation Context triple: [Ray Allen, threePointShooterReputation, one of the greatest three-point shooters in NBA history]
-
A.
MVPThreePointersMade
Indicates the number of three-point field goals successfully made by the MVP in a game or season.
-
B.
MVPThreePointersAttempted
Indicates the number of three-point shots attempted by the MVP in a given context or period.
-
C.
usedThreePointLine
Indicates that an action or play involved or was executed from beyond the three-point line.
-
D.
NBAThreePointContestTitles
Indicates the number of NBA Three-Point Contest championship titles an entity has won.
-
E.
NBAThreePointContestTitleYears
Indicates the years in which a person won the NBA Three-Point Contest title.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf33347e48190a32b6d0099e3d389 |
completed | March 6, 2026, 3:30 p.m. |
Created at: March 4, 2026, 7:29 p.m.