Triple

T20287065
Position Surface form Disambiguated ID Type / Status
Subject A Private War E509909 entity
Predicate mainSubject P3 FINISHED
Object Marie Colvin NE NERFINISHED

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: Marie Colvin | Statement: [A Private War, mainSubject, Marie Colvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Colvin
Context triple: [A Private War, mainSubject, Marie Colvin]
  • A. Marie Colvin chosen
    Marie Colvin was a renowned American war correspondent for The Sunday Times, celebrated for her fearless frontline reporting from conflict zones around the world.
  • B. Mary Anne Colvin
    Mary Anne Colvin is known as the mother of civil rights figure Claudette Colvin, who played a key role in the early Montgomery bus protest movement.
  • C. Robert Fisk
    Robert Fisk was a prominent British journalist and Middle East correspondent renowned for his in-depth, on-the-ground reporting and critical analysis of Western foreign policy.
  • D. James Nachtwey
    James Nachtwey is an acclaimed American photojournalist renowned for his powerful war and conflict photography documenting human suffering around the world.
  • E. Emaline Addario
    Emaline Addario is a dramatic and impulsive high school theater student from the Netflix coming-of-age series "Everything Sucks!" portrayed by Sydney Sweeney.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e676931fe08190b278d829a745701f completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:07 a.m.