Triple
T16253614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Jane |
E394574
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kevin McKeon
Kevin McKeon is a film and television producer known for his work on projects such as the movie "Call Jane."
|
E1203005
|
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 McKeon | Statement: [Call Jane, producer, Kevin McKeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin McKeon Context triple: [Call Jane, producer, Kevin McKeon]
-
A.
Andy McPhee
Andy McPhee is an Australian actor known for his character roles in film and television, including voice work in animated series such as Pacific Rim: The Black.
-
B.
Charlie Conacher
Charlie Conacher was a Canadian Hall of Fame right winger for the Toronto Maple Leafs, renowned in the 1930s as one of the NHL’s most dominant goal scorers.
-
C.
Keir Gilchrist
Keir Gilchrist is a Canadian actor best known for his leading roles in the TV series "Atypical" and the film "It's Kind of a Funny Story."
-
D.
Brandon McDonald
Brandon McDonald is a professional American soccer player known for his career as a defender in Major League Soccer and other leagues.
-
E.
Mathew Cullen
Mathew Cullen is an American music video and commercial director known for his visually inventive, high-profile work with major pop and hip-hop artists.
- 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 McKeon Triple: [Call Jane, producer, Kevin McKeon]
Generated description
Kevin McKeon is a film and television producer known for his work on projects such as the movie "Call Jane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin McKeon Target entity description: Kevin McKeon is a film and television producer known for his work on projects such as the movie "Call Jane."
-
A.
Andy McPhee
Andy McPhee is an Australian actor known for his character roles in film and television, including voice work in animated series such as Pacific Rim: The Black.
-
B.
Charlie Conacher
Charlie Conacher was a Canadian Hall of Fame right winger for the Toronto Maple Leafs, renowned in the 1930s as one of the NHL’s most dominant goal scorers.
-
C.
Keir Gilchrist
Keir Gilchrist is a Canadian actor best known for his leading roles in the TV series "Atypical" and the film "It's Kind of a Funny Story."
-
D.
Brandon McDonald
Brandon McDonald is a professional American soccer player known for his career as a defender in Major League Soccer and other leagues.
-
E.
Mathew Cullen
Mathew Cullen is an American music video and commercial director known for his visually inventive, high-profile work with major pop and hip-hop artists.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24598c9488190a92df7d8b1824724 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee788f88190b16d267f1eee6d62 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00113900c88190bf7f56ca4b16a84c |
completed | May 10, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0011d98f708190805c84d63ed79aaa |
completed | May 10, 2026, 5:04 a.m. |
Created at: April 10, 2026, 5:04 a.m.