Triple
T2215050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomadland |
E48011
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
|
E296433
|
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 Janvey | Statement: [Nomadland, producer, Dan Janvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Janvey Context triple: [Nomadland, producer, Dan Janvey]
-
A.
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.
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Jeff Danna
Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
-
D.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
E.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
- 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 Janvey Triple: [Nomadland, producer, Dan Janvey]
Generated description
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Janvey Target entity description: Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
A.
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.
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Jeff Danna
Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
-
D.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
E.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbff11574819091d1b50d637ae767 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc01a30608190839f9e11db0f7def |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0b6368081908e2520ac6680a409 |
completed | March 10, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc145e61881908c0eeae455b02a78 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 4, 2026, 7:46 p.m.