Triple
T4130717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beard |
E85033
|
entity |
| Predicate | associatedWithAllNBASelections |
P25969
|
FINISHED |
| Object | multiple All-NBA Team 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 All-NBA Team selections | Statement: [The Beard, associatedWithAllNBASelections, multiple All-NBA Team selections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAllNBASelections Context triple: [The Beard, associatedWithAllNBASelections, multiple All-NBA Team selections]
-
A.
NBAAllNBASelection
Indicates that a player has been selected to an All-NBA Team (First, Second, or Third Team) for a given NBA season.
-
B.
AllNBASelections
chosen
Indicates that a player has been selected to an All-NBA Team, capturing the occurrence and possibly the number or level of such honors.
-
C.
NBAAllStarSelections
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
D.
NBAAllNBASelectionYear
Indicates the year in which a player received an All-NBA Team selection.
-
E.
hasAllStarSelections
Indicates that an entity (typically an athlete) has been chosen to participate in one or more All-Star events or games.
- 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.