Triple
T10655034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmet Ali Ağca |
E251065
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Grey Wolves |
E251066
|
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: Grey Wolves | Statement: [Mehmet Ali Ağca, memberOf, Grey Wolves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grey Wolves Context triple: [Mehmet Ali Ağca, memberOf, Grey Wolves]
-
A.
Grey Wolves
chosen
Grey Wolves is a Turkish ultranationalist, far-right paramilitary organization known for its violent activism and political militancy.
-
B.
Wolves
Wolves is the short name of the Chicago Wolves, a professional ice hockey team based in the Chicago metropolitan area that competes in the American Hockey League.
-
C.
Wolves
"Wolves" is a moody, atmospheric hip-hop track by Kanye West that blends haunting production with introspective lyrics and prominent guest vocals.
-
D.
Wolves
Wolves is the commonly used name for Wolverhampton Wanderers Football Club, a professional English football team based in Wolverhampton that competes in the Premier League.
-
E.
Wolves
Wolves is the commonly used short name for the Warrington Wolves, a professional rugby league club based in Warrington, England.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff94c188190b1a822c3720d18b7 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a71fac48190a6d7c99ebc5aad0a |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:06 p.m.