Triple
T959904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Erving |
E20709
|
entity |
| Predicate | ABAAllStarSelections |
P7101
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Julius Erving, ABAAllStarSelections, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ABAAllStarSelections Context triple: [Julius Erving, ABAAllStarSelections, 5]
-
A.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
B.
allStarGameName
Indicates the specific name or title assigned to an All-Star Game event associated with an entity.
-
C.
NBAAllStarSelections
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
D.
allStarSelectionCount
chosen
Indicates the number of times an entity has been selected as an All-Star.
-
E.
AllStarTeam
Indicates that an entity has been selected for inclusion on an all-star team, recognizing it as one of the top performers within a league, season, 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b412f9f48190be123e8c20f38962 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a2e23c8190b932fe88b02f995d |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.