Triple
T9289833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Seals |
E223487
|
entity |
| Predicate | hasOwnerOtherSportsHoldings |
P87453
|
FINISHED |
| Object | Brooklyn Nets minority owner |
—
|
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: Brooklyn Nets minority owner | Statement: [San Diego Seals, hasOwnerOtherSportsHoldings, Brooklyn Nets minority owner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnerOtherSportsHoldings Context triple: [San Diego Seals, hasOwnerOtherSportsHoldings, Brooklyn Nets minority owner]
-
A.
sportInvolvedInAsOwner
Indicates that an entity has an ownership role in, or is the owner associated with, a particular sport or sports organization.
-
B.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
C.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified entity.
-
D.
hasPartnerInSport
Indicates that one entity has another entity as a partner with whom they jointly participate in a sport or sporting activity.
-
E.
hasOwnerShare
Indicates that an entity holds a specified ownership stake or share in another entity or asset.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.