Triple
T4130716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beard |
E85033
|
entity |
| Predicate | associatedWithAllStarSelections |
P30207
|
FINISHED |
| Object | multiple NBA All-Star selections |
—
|
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: multiple NBA All-Star selections | Statement: [The Beard, associatedWithAllStarSelections, multiple NBA All-Star selections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAllStarSelections Context triple: [The Beard, associatedWithAllStarSelections, multiple NBA All-Star selections]
-
A.
hasAllStarSelections
chosen
Indicates that an entity (typically an athlete) has been chosen to participate in one or more All-Star events or games.
-
B.
allStarSelectionCount
Indicates the number of times an entity has been selected as an All-Star.
-
C.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
D.
allStarGameSignificance
Indicates the importance or impact that participation or performance in an All-Star Game has within a given context (such as a player’s career, a season, or a league).
-
E.
allStarGameLeagueWinner
Indicates that a league is the winner of a particular All-Star Game.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.