Triple
T16262085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Struve |
E394778
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stefan Struve |
E394778
|
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: Stefan Struve | Statement: [Stefan Struve, name, Stefan Struve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Struve Context triple: [Stefan Struve, name, Stefan Struve]
-
A.
Stefan Struve
chosen
Stefan Struve is a Dutch mixed martial artist and former UFC heavyweight known for his exceptional height and long reach.
-
B.
Tito Ortiz
Tito Ortiz is an American mixed martial artist and former UFC Light Heavyweight Champion known as one of the promotion’s early stars and most polarizing personalities.
-
C.
Fedor Emelianenko
Fedor Emelianenko is a legendary Russian mixed martial artist widely regarded as one of the greatest heavyweight fighters in the sport’s history.
-
D.
Kenny Florian
Kenny Florian is a retired American mixed martial artist and longtime UFC lightweight contender who later became a prominent MMA analyst and commentator.
-
E.
Andrew Golota
Andrew Golota is a Polish former professional heavyweight boxer best known for his controversial fights, including multiple disqualifications and high-profile bouts in the 1990s and early 2000s.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c4a0b08190af3574f087205afc |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8ca4508190a8ed7a9159dfb551 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:04 a.m.