Triple

T5071207
Position Surface form Disambiguated ID Type / Status
Subject New Yorker Films E114282 entity
Predicate foundedBy P104 FINISHED
Object Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
 E523880 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 Talbot | Statement: [New Yorker Films, foundedBy, Dan Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Talbot
Context triple: [New Yorker Films, foundedBy, Dan Talbot]
  • A. Dean Tolson
    Dean Tolson is a former American professional basketball player best known for his college career at the University of Arkansas and his time as a forward in the NBA during the 1970s.
  • B. Dan Janvey
    Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
  • C. Michael Wells
    Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
  • D. Ian Crafford
    Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
  • E. Ben Cafferty
    Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
  • 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 Talbot
Triple: [New Yorker Films, foundedBy, Dan Talbot]
Generated description
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Talbot
Target entity description: Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
  • A. Dean Tolson
    Dean Tolson is a former American professional basketball player best known for his college career at the University of Arkansas and his time as a forward in the NBA during the 1970s.
  • B. Dan Janvey
    Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
  • C. Michael Wells
    Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
  • D. Ian Crafford
    Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
  • E. Ben Cafferty
    Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c33898081908cd91ee65a078010 completed March 22, 2026, 4:12 a.m.
NEDg Description generation batch_69bf6cf77e3c81908a7c0e8337eddc96 completed March 22, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69bf6dcb6a7c81909a84e2af979013f3 completed March 22, 2026, 4:19 a.m.
Created at: March 20, 2026, 1:39 p.m.