Triple
T19997703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winer |
E494238
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Weiner |
—
|
NE NERFINISHED |
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: Weiner | Statement: [Winer, hasVariant, Weiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiner Context triple: [Winer, hasVariant, Weiner]
-
A.
Weiner
chosen
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
B.
Michael Weiner
Michael Weiner was an American labor lawyer who served as the executive director of the Major League Baseball Players Association, where he was known for his influential role in player labor relations and collective bargaining.
-
C.
Scheyer
Scheyer is a surname most prominently associated with Jon Scheyer, the former Duke basketball star and current head coach of the Duke Blue Devils men's basketball team.
-
D.
Anthony Weiner
Anthony Weiner is a former U.S. congressman from New York whose political career collapsed following multiple sexting scandals.
-
E.
Jon Klein
Jon Klein is a British guitarist best known for his work with the influential post-punk band Siouxsie and the Banshees.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe6827481909469129feb9aad91 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:32 p.m.