Triple
T30971191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Lasry |
E789101
|
entity |
| Predicate | sportOwnershipRole |
P59138
|
FINISHED |
| Object | co-owner of Milwaukee Bucks |
—
|
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: co-owner of Milwaukee Bucks | Statement: [Marc Lasry, sportOwnershipRole, co-owner of Milwaukee Bucks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportOwnershipRole Context triple: [Marc Lasry, sportOwnershipRole, co-owner of Milwaukee Bucks]
-
A.
teamOwnershipRole
chosen
Indicates the specific ownership-related role or capacity an entity holds within a team (such as owner, co-owner, or managing owner).
-
B.
sportOwnershipArea
Indicates the geographic area or region over which a particular sport organization, team, or entity holds ownership or control rights.
-
C.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
D.
sportInvolvedInAsOwner
Indicates that an entity has an ownership role in, or is the owner associated with, a particular sport or sports organization.
-
E.
sportsOwnershipArea
Indicates the geographic area or region over which a sports organization, team, or owner holds ownership or territorial rights.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 8:54 p.m.