Triple

T3630402
Position Surface form Disambiguated ID Type / Status
Subject Burnett E76940 entity
Predicate hasNotableBearer P458 FINISHED
Object David Burnett
David Burnett is an acclaimed American photojournalist renowned for his evocative coverage of major historical events and political figures over several decades.
E388615 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 Burnett | Statement: [Burnett, hasNotableBearer, David Burnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Burnett
Context triple: [Burnett, hasNotableBearer, David Burnett]
  • A. Ben Durrant
    Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
  • B. Ray Merrimen
    Ray Merrimen is a disciplined, battle-hardened ex-Marine and mastermind leader of a crew of professional bank robbers in the crime film "Den of Thieves."
  • C. Pat Burns
    Pat Burns was a highly respected Canadian NHL head coach known for his defensive systems and three Jack Adams Awards with different teams, including the Toronto Maple Leafs, Montreal Canadiens, and Boston Bruins.
  • D. Allen McNeil
    Allen McNeil was an editor known for his work on the film "The Ox-Bow Incident."
  • E. Denis Barnett
    Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
  • 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 Burnett
Triple: [Burnett, hasNotableBearer, David Burnett]
Generated description
David Burnett is an acclaimed American photojournalist renowned for his evocative coverage of major historical events and political figures over several decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Burnett
Target entity description: David Burnett is an acclaimed American photojournalist renowned for his evocative coverage of major historical events and political figures over several decades.
  • A. Ben Durrant
    Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
  • B. Ray Merrimen
    Ray Merrimen is a disciplined, battle-hardened ex-Marine and mastermind leader of a crew of professional bank robbers in the crime film "Den of Thieves."
  • C. Pat Burns
    Pat Burns was a highly respected Canadian NHL head coach known for his defensive systems and three Jack Adams Awards with different teams, including the Toronto Maple Leafs, Montreal Canadiens, and Boston Bruins.
  • D. Allen McNeil
    Allen McNeil was an editor known for his work on the film "The Ox-Bow Incident."
  • E. Denis Barnett
    Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f01ef3e08190bb5ebfde40787ff2 completed March 14, 2026, 5:20 a.m.
NEDg Description generation batch_69b4f1403de08190b31120a384f08cbb completed March 14, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1fc2e248190a966cace3cc69449 completed March 14, 2026, 5:28 a.m.
Created at: March 8, 2026, 3:23 p.m.