Triple
T333523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Tsai |
E6674
|
entity |
| Predicate | sportOwnership |
P2617
|
FINISHED |
| Object | professional basketball teams |
—
|
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 teams | Statement: [Joe Tsai, sportOwnership, professional basketball teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportOwnership Context triple: [Joe Tsai, sportOwnership, professional basketball teams]
-
A.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
B.
acquiredSportsTeam
chosen
Indicates that one entity has purchased and taken ownership of a sports team from another party.
-
C.
sportsBrand
Indicates that one entity is a sports-related brand or label associated with the other entity.
-
D.
sportsRights
Indicates that one entity holds legal rights or permissions related to broadcasting, distributing, or otherwise commercially exploiting a sports event or sports content in relation to another entity.
-
E.
sportOfFranchiseControlled
Indicates that a franchise is controlled or operated by an entity within a specific sport or sporting domain.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac4d9d081908a624464e450fb0e |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94d99cc8190a112e4b630ec63c1 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.