Triple

T2008929
Position Surface form Disambiguated ID Type / Status
Subject The Deer Hunter E43647 entity
Predicate screenwriter P2831 FINISHED
Object Deric Washburn
Deric Washburn is an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
E248649 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: Deric Washburn | Statement: [The Deer Hunter, screenwriter, Deric Washburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deric Washburn
Context triple: [The Deer Hunter, screenwriter, Deric Washburn]
  • A. Jerry Dandrige
    Jerry Dandrige is the charismatic yet sinister vampire antagonist in the 2011 horror-comedy film "Fright Night."
  • B. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • C. Kevin Liles
    Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
  • D. Ben Esler
    Ben Esler is an Australian actor best known for his roles in television dramas and historical series, including a prominent part in the Western series "Hell on Wheels."
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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: Deric Washburn
Triple: [The Deer Hunter, screenwriter, Deric Washburn]
Generated description
Deric Washburn is an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deric Washburn
Target entity description: Deric Washburn is an American screenwriter best known for co-writing the acclaimed Vietnam War drama film "The Deer Hunter."
  • A. Jerry Dandrige
    Jerry Dandrige is the charismatic yet sinister vampire antagonist in the 2011 horror-comedy film "Fright Night."
  • B. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • C. Kevin Liles
    Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
  • D. Ben Esler
    Ben Esler is an Australian actor best known for his roles in television dramas and historical series, including a prominent part in the Western series "Hell on Wheels."
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae66fe08190be75c18f0916f23b completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b9da51c819085beb79a14f5d8b5 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2a465c8190a9fe2a465e9ac3f0 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:37 p.m.