Triple
T5062984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Kilpatrick |
E114069
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Tofaş S.K. |
E490331
|
NE 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: Tofaş S.K. | Statement: [Sean Kilpatrick, memberOfSportsTeam, Tofaş S.K.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tofaş S.K. Context triple: [Sean Kilpatrick, memberOfSportsTeam, Tofaş S.K.]
-
A.
Tofaş S.K.
chosen
Tofaş S.K. is a professional basketball club based in Bursa, Turkey, competing in the Turkish Basketball Super League and European competitions.
-
B.
Tarsus Group
Tarsus Group is an international business-to-business media and events company known for organizing major trade shows, exhibitions, and conferences worldwide.
-
C.
Toyota Motor Manufacturing Turkey
Toyota Motor Manufacturing Turkey is a Turkish-based production subsidiary of Toyota that manufactures vehicles and components for both domestic and export markets.
-
D.
GAZ Group
GAZ Group is a major Russian automotive manufacturer best known for producing commercial vehicles, trucks, and buses.
-
E.
Altay S.K.
Altay S.K. is a historic Turkish professional football club based in İzmir, known as one of the country's oldest and most traditional teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7475be3c819085cde8ec544c407e |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10778208190a5c6a9457c085491 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.