Triple

T6796633
Position Surface form Disambiguated ID Type / Status
Subject Hitch-22 E156068 entity
Predicate mentions P831 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: [Hitch-22, mentions, Martin Amis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Amis
Context triple: [Hitch-22, mentions, 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c872f0819092f21e8fdbecc667 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a95987c8190ae8ed5840a6744f0 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.