Triple
T33221879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Terry |
E850441
|
entity |
| Predicate | threePointFieldGoalsMade |
P176419
|
FINISHED |
| Object | one of NBA all-time leaders |
—
|
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 NBA all-time leaders | Statement: [Jason Terry, threePointFieldGoalsMade, one of NBA all-time leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threePointFieldGoalsMade Context triple: [Jason Terry, threePointFieldGoalsMade, one of NBA all-time leaders]
-
A.
MVPThreePointersAttempted
Indicates the number of three-point shots attempted by the MVP in a given context or period.
-
B.
fieldGoalsBy
Indicates that a specified number of field goals were made by a particular player or team.
-
C.
fieldGoalsMadeCareer
Indicates the total number of field goals a player has successfully made over the course of their entire career.
-
D.
threePointShooter
Indicates that an entity is characterized by the ability to successfully make three-point shots in basketball.
-
E.
usedThreePointLine
Indicates that an action or play involved or was executed from beyond the three-point line.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:30 a.m.