Triple
T21575960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Jones |
E532393
|
entity |
| Predicate | playedProfessionalSport |
P64063
|
FINISHED |
| Object | basketball |
—
|
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: basketball | Statement: [Major Jones, playedProfessionalSport, basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedProfessionalSport Context triple: [Major Jones, playedProfessionalSport, basketball]
-
A.
hasPlayedProfessionalSports
chosen
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
B.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
-
C.
professionalSports
Indicates that the entities are connected through participation in or association with professional-level sports activities or organizations.
-
D.
performsAtSport
Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
-
E.
hasProfessionalPlayers
Indicates that an entity is associated with or includes individuals who participate in a profession at a professional level.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9d07ddc8190a4bba08223e56f46 |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.