Triple

T7674868
Position Surface form Disambiguated ID Type / Status
Subject Martin Amis E173836 entity
Predicate name P16 FINISHED
Object Martin Amis E173836 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 Amis | Statement: [Martin Amis, name, Martin Amis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Amis
Context triple: [Martin Amis, name, Martin Amis]
  • A. Martin Amis chosen
    Martin Amis was a prominent British novelist, essayist, and critic known for his darkly comic, stylistically inventive fiction and sharp cultural commentary.
  • B. Sir Kingsley Amis
    Sir Kingsley Amis was a prominent 20th-century British novelist, poet, and critic, best known for his comic novel "Lucky Jim" and his influential role in postwar English literature.
  • C. Jonathan Coe
    Jonathan Coe is a British novelist and satirist best known for works such as "What a Carve Up!" and "The Rotters' Club," which often blend political commentary with dark humor.
  • D. Julian Barnes
    Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
  • E. David Lodge
    David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e1e530819086f49f63ba0b7b42 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a234790c8190b1427f99b7f1e5ab completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.