Triple

T16267439
Position Surface form Disambiguated ID Type / Status
Subject Martin Bell E394909 entity
Predicate name P16 FINISHED
Object Martin Bell E394909 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: Martin Bell | Statement: [Martin Bell, name, Martin Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Bell
Context triple: [Martin Bell, name, Martin Bell]
  • A. Martin Bell chosen
    Martin Bell is a British former war correspondent and independent politician best known for winning the Tatton parliamentary seat in 1997 on an anti-corruption platform.
  • B. Martin Bell
    Martin Bell is a film director best known for his work on socially conscious documentaries and dramas such as "Streetwise."
  • C. Alan Ward
    Alan Ward is a determined and idealistic FBI agent in the film "Mississippi Burning," who leads a federal investigation into the racially motivated murders of civil rights workers in 1960s Mississippi.
  • D. Ian Ward
    Ian Ward is a personal name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
  • E. James Archbell
    James Archbell was a 19th-century figure best known for establishing Maritzburg College, one of South Africa’s oldest and most prominent boys’ schools.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c963ec8190b059fecac6248cd9 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8eac988190bdcba6778fbffd64 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.