Triple
T5278445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanos family |
E119430
|
entity |
| Predicate | sportsFranchiseCategory |
P17259
|
FINISHED |
| Object | family-owned NFL team |
—
|
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: family-owned NFL team | Statement: [Spanos family, sportsFranchiseCategory, family-owned NFL team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsFranchiseCategory Context triple: [Spanos family, sportsFranchiseCategory, family-owned NFL team]
-
A.
sportOfFranchiseControlled
Indicates that a franchise is controlled or operated by an entity within a specific sport or sporting domain.
-
B.
refersToSportFranchise
Indicates that one entity is making reference to, or is associated with, a specific professional sports franchise.
-
C.
sportsTeamOwned
chosen
Indicates that one entity is the owner (or part-owner) of a sports team entity.
-
D.
sportsAllegiance
Indicates a supportive or loyal association an entity has with a particular sports team, organization, or side.
-
E.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.