Triple
T22172343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beasts of the Southern Wild |
E547953
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dan Janvey |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Beasts of the Southern Wild, producer, Dan Janvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Janvey Context triple: [Beasts of the Southern Wild, producer, Dan Janvey]
-
A.
Dan Janvey
chosen
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
B.
Dan Cavanagh
Dan Cavanagh is a musician best known as a former member of the American rock band Story of the Year.
-
C.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
-
D.
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.
-
E.
Ken Davenport
Ken Davenport is a Tony Award–winning American theatrical producer known for his work on numerous Broadway and Off-Broadway productions and for his entrepreneurial approach to theater marketing and development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.