Triple
T11271005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas State Wildcats football |
E266810
|
entity |
| Predicate | formerHeadCoach |
P537
|
FINISHED |
| Object |
Ron Prince
Ron Prince is an American football coach best known for his tenure as head coach of the Kansas State Wildcats in the mid-2000s.
|
E914048
|
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: Ron Prince | Statement: [Kansas State Wildcats football, formerHeadCoach, Ron Prince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Prince Context triple: [Kansas State Wildcats football, formerHeadCoach, Ron Prince]
-
A.
Mike Sikowitz
Mike Sikowitz is a television writer and producer best known for his work on sitcoms such as "Dr. Ken" and contributions to other popular comedy series.
-
B.
Mark Waters
Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
-
C.
Will Speck
Will Speck is an American film director best known for co-directing mainstream comedies such as "Blades of Glory" and "Office Christmas Party."
-
D.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
E.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
- 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: Ron Prince Triple: [Kansas State Wildcats football, formerHeadCoach, Ron Prince]
Generated description
Ron Prince is an American football coach best known for his tenure as head coach of the Kansas State Wildcats in the mid-2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Prince Target entity description: Ron Prince is an American football coach best known for his tenure as head coach of the Kansas State Wildcats in the mid-2000s.
-
A.
Mike Sikowitz
Mike Sikowitz is a television writer and producer best known for his work on sitcoms such as "Dr. Ken" and contributions to other popular comedy series.
-
B.
Mark Waters
Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
-
C.
Will Speck
Will Speck is an American film director best known for co-directing mainstream comedies such as "Blades of Glory" and "Office Christmas Party."
-
D.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
E.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccdf9e0c819098a921146e8d6e30 |
completed | April 19, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69e4d9ee21b08190ae227c5b3bc43a3d |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddb2d2708190b9ccfeec029ebea6 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.