Triple
T12662553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parma Calcio 1913 |
E302459
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Kyle Krause
Kyle Krause is an American businessman and sports executive best known as the owner and chairman of Italian football club Parma Calcio 1913.
|
E1071824
|
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: Kyle Krause | Statement: [Parma Calcio 1913, chairman, Kyle Krause]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Krause Context triple: [Parma Calcio 1913, chairman, Kyle Krause]
-
A.
Brian Krause
Brian Krause is an American actor best known for playing the whitelighter Leo Wyatt on the television series "Charmed."
-
B.
Jason Krause
Jason Krause is an American guitarist best known for his long-time work as a member of Kid Rock’s backing band, Twisted Brown Trucker.
-
C.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
-
D.
Ken Kelsch
Ken Kelsch was an American cinematographer and occasional producer known for his gritty visual style and frequent collaborations with director Abel Ferrara.
-
E.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
- 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: Kyle Krause Triple: [Parma Calcio 1913, chairman, Kyle Krause]
Generated description
Kyle Krause is an American businessman and sports executive best known as the owner and chairman of Italian football club Parma Calcio 1913.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyle Krause Target entity description: Kyle Krause is an American businessman and sports executive best known as the owner and chairman of Italian football club Parma Calcio 1913.
-
A.
Brian Krause
Brian Krause is an American actor best known for playing the whitelighter Leo Wyatt on the television series "Charmed."
-
B.
Jason Krause
Jason Krause is an American guitarist best known for his long-time work as a member of Kid Rock’s backing band, Twisted Brown Trucker.
-
C.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
-
D.
Ken Kelsch
Ken Kelsch was an American cinematographer and occasional producer known for his gritty visual style and frequent collaborations with director Abel Ferrara.
-
E.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ad4cc48190a680652efa3ab463 |
completed | May 6, 2026, 8:16 p.m. |
| NEDg | Description generation | batch_69fba5918348819084fa4235eec6eee0 |
completed | May 6, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6b5e4f4819088e8a0629e17e4cc |
completed | May 6, 2026, 8:38 p.m. |
Created at: April 9, 2026, 5:19 p.m.