Triple

T7839307
Position Surface form Disambiguated ID Type / Status
Subject Don McCullin E181764 entity
Predicate name P16 FINISHED
Object Don McCullin E181764 NE FINISHED

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: Don McCullin | Statement: [Don McCullin, name, Don McCullin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don McCullin
Context triple: [Don McCullin, name, Don McCullin]
  • A. Don McCullin chosen
    Don McCullin is a renowned British photojournalist celebrated for his powerful and often harrowing images of war, conflict, and social hardship around the world.
  • B. Philip Jones Griffiths
    Philip Jones Griffiths was a renowned Welsh photojournalist best known for his powerful and critical coverage of the Vietnam War.
  • C. W. Eugene Smith
    W. Eugene Smith was a pioneering American photojournalist renowned for his powerful, humanistic photo-essays in magazines like Life.
  • D. Elliott Erwitt
    Elliott Erwitt was a renowned American photographer celebrated for his candid black-and-white images that blend street photography with subtle humor and humanism.
  • E. James Nachtwey
    James Nachtwey is an acclaimed American photojournalist renowned for his powerful war and conflict photography documenting human suffering around the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c4680481908628d22bbe4842f4 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5abff2a88190a2f988b8b041ebb0 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.