Triple
T16143861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Mark Price |
E391726
|
entity |
| Predicate | numberOfTimesSelectedAsNBAAllStar |
P2665
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [William Mark Price, numberOfTimesSelectedAsNBAAllStar, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesSelectedAsNBAAllStar Context triple: [William Mark Price, numberOfTimesSelectedAsNBAAllStar, 4]
-
A.
NBAAllStarSelections
chosen
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
B.
numberOfWNBAAllStarSelections
Indicates the count of times an individual has been selected to participate in the WNBA All-Star Game.
-
C.
isNBAAllStar
Indicates that a person has been selected to participate as a player in at least one NBA All-Star Game.
-
D.
NBAAllStarYears
Indicates the years in which a given player was selected as an NBA All-Star.
-
E.
allStarSelectionCount
Indicates the number of times an entity has been selected as an All-Star.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.