Triple
T14336233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CM Punk |
E355473
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object | Kevin Quinn |
E640312
|
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: Kevin Quinn | Statement: [CM Punk, trainedBy, Kevin Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Quinn Context triple: [CM Punk, trainedBy, Kevin Quinn]
-
A.
Kevin Quinn
chosen
Kevin Quinn is a professional wrestling trainer and former wrestler best known for helping develop future stars such as CM Punk.
-
B.
Bill Quinn
Bill Quinn was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1980s.
-
C.
Todd Quinlan
Todd Quinlan, better known as "The Todd," is a hyper-masculine, joke-cracking surgeon from the TV series Scrubs known for his inappropriate humor and signature high-fives.
-
D.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
-
E.
Brian Quigley
Brian Quigley is a central, often comedic and scheming local businessman in the Irish television drama series "Ballykissangel."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d7c397c81908dab10dd8d7aa367 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:14 a.m.