Triple

T6150558
Position Surface form Disambiguated ID Type / Status
Subject McFarland, USA E137188 entity
Predicate editor P1954 FINISHED
Object David Coulson
David Coulson is a film editor known for his work on the sports drama movie "McFarland, USA."
E302538 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: David Coulson | Statement: [McFarland, USA, editor, David Coulson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Coulson
Context triple: [McFarland, USA, editor, David Coulson]
  • A. David Coulson
    David Coulson is a film editor known for his work on feature films such as the drama "North Country."
  • B. Christian Coulson
    Christian Coulson is an English actor best known for playing the young Tom Riddle in the film "Harry Potter and the Chamber of Secrets."
  • C. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • D. Nick Laird
    Nick Laird is a Northern Irish poet, novelist, and lawyer known for his acclaimed poetry collections and fiction, as well as his marriage to writer Zadie Smith.
  • E. Graham Crowley
    Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since 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: David Coulson
Triple: [McFarland, USA, editor, David Coulson]
Generated description
David Coulson is a film editor known for his work on the sports drama movie "McFarland, USA."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Coulson
Target entity description: David Coulson is a film editor known for his work on the sports drama movie "McFarland, USA."
  • A. David Coulson chosen
    David Coulson is a film editor known for his work on feature films such as the drama "North Country."
  • B. Christian Coulson
    Christian Coulson is an English actor best known for playing the young Tom Riddle in the film "Harry Potter and the Chamber of Secrets."
  • C. Stephen Pycroft
    Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
  • D. Nick Laird
    Nick Laird is a Northern Irish poet, novelist, and lawyer known for his acclaimed poetry collections and fiction, as well as his marriage to writer Zadie Smith.
  • E. Graham Crowley
    Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
  • F. None of above.

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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce329648190a03ba0233df841fa completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6caf09b408190b1133afa52668bfe completed March 27, 2026, 6:22 p.m.
NEDg Description generation batch_69c6cc960e088190bd9643aa1c46128d completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd4d50948190ac60ec518f00e5d8 completed March 27, 2026, 6:32 p.m.
Created at: March 22, 2026, 4:16 p.m.