Triple
T5737703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Master |
E126538
|
entity |
| Predicate | associatedWithBowlingStyleOfPerson |
P65539
|
FINISHED |
| Object | right-arm occasional bowler |
—
|
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: right-arm occasional bowler | Statement: [Little Master, associatedWithBowlingStyleOfPerson, right-arm occasional bowler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBowlingStyleOfPerson Context triple: [Little Master, associatedWithBowlingStyleOfPerson, right-arm occasional bowler]
-
A.
ProBowls
Indicates that a player has been selected to participate in one or more Pro Bowl all-star games.
-
B.
bowlRecord
Indicates a record or documentation of a bowling-related performance, event, or outcome associated with an entity.
-
C.
associatedWithBallpark
Indicates that an entity has a relationship or connection to a specific ballpark, such as location, operation, or affiliation.
-
D.
hasBowType
Indicates that an entity possesses or is associated with a specific type or category of bow.
-
E.
hasBowlAppearances
Indicates that an entity has participated in one or more bowl game appearances.
- F. None of above. chosen
Provenance (4 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255c8c308190821f968ec41c5078 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:47 p.m.