Triple
T6530064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CM Punk |
E152208
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
Kevin Quinn
Kevin Quinn is a professional wrestling trainer and former wrestler best known for helping develop future stars such as CM Punk.
|
E640312
|
NE FINISHED |
How this triple was built (4 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.
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.
-
B.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
-
C.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kevin Quinn Triple: [CM Punk, trainedBy, Kevin Quinn]
Generated description
Kevin Quinn is a professional wrestling trainer and former wrestler best known for helping develop future stars such as CM Punk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Quinn Target entity description: Kevin Quinn is a professional wrestling trainer and former wrestler best known for helping develop future stars such as CM Punk.
-
A.
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.
-
B.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
-
C.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- F. None of above. chosen
Provenance (5 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7941f24b881908aeb02b2cae78e12 |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c795143ad481909d0395ca41502e42 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795fce734819086e20a916aa67f54 |
completed | March 28, 2026, 8:49 a.m. |
Created at: March 27, 2026, 1:46 p.m.