Triple
T11255071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stockton |
E266415
|
entity |
| Predicate | totalCareerSteals |
P77729
|
FINISHED |
| Object | 3265 |
—
|
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: 3265 | Statement: [John Stockton, totalCareerSteals, 3265]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCareerSteals Context triple: [John Stockton, totalCareerSteals, 3265]
-
A.
careerSteals
chosen
Indicates the total number of steals a player has accumulated over their entire career.
-
B.
totalCareerPointsNBA
Indicates the total number of points a player has scored over their entire NBA career.
-
C.
careerReboundsPerGame
Indicates the average number of rebounds a player records per game over the course of their entire career.
-
D.
NBAcareerEnd
Indicates the time or season when a person's playing career in the NBA came to an end.
-
E.
careerPointsABA
Indicates the total number of points a player has scored over their career in the ABA (American Basketball Association).
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9346f4c8190b29c2cf3a29cd1d1 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d78793c00481908a3f764b610b77a4 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.