Triple
T3944210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Gilbert |
E92105
|
entity |
| Predicate | sportsOwnershipArea |
P52164
|
FINISHED |
| Object | professional 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: professional basketball | Statement: [Dan Gilbert, sportsOwnershipArea, professional basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsOwnershipArea Context triple: [Dan Gilbert, sportsOwnershipArea, professional basketball]
-
A.
sportOwnershipArea
Indicates the geographic area or region over which a particular sport organization, team, or entity holds ownership or control rights.
-
B.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
C.
sportsDistrict
Indicates that a district is associated with or designated for sports-related activities, facilities, or organizations.
-
D.
sportsTeamOwned
Indicates that one entity is the owner (or part-owner) of a sports team entity.
-
E.
acquiredSportsTeam
Indicates that one entity has purchased and taken ownership of a sports team from another party.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:24 p.m.