Triple
T18533500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minx |
E452900
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Dan Magnante
Dan Magnante is a television producer best known for his executive production work on the series "Minx."
|
E1333558
|
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: Dan Magnante | Statement: [Minx, executiveProducer, Dan Magnante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Magnante Context triple: [Minx, executiveProducer, Dan Magnante]
-
A.
Anthony Marentino
Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
-
B.
Charles Nicoletti
Charles Nicoletti was a Chicago mob hitman associated with the Chicago Outfit and reputed to be one of its most feared enforcers during the mid-20th century.
-
C.
Michael Ferraro
Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
-
D.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
E.
Dan Frank
Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
- 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: Dan Magnante Triple: [Minx, executiveProducer, Dan Magnante]
Generated description
Dan Magnante is a television producer best known for his executive production work on the series "Minx."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Magnante Target entity description: Dan Magnante is a television producer best known for his executive production work on the series "Minx."
-
A.
Anthony Marentino
Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
-
B.
Charles Nicoletti
Charles Nicoletti was a Chicago mob hitman associated with the Chicago Outfit and reputed to be one of its most feared enforcers during the mid-20th century.
-
C.
Michael Ferraro
Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
-
D.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
E.
Dan Frank
Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050371a00081908cc8745885705b16 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a05051c972c81909518b1cd85aa820b |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05056d181881909b803a9c3efc58ba |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:37 a.m.