Triple

T2557951
Position Surface form Disambiguated ID Type / Status
Subject Faulks on Fiction E56771 entity
Predicate featuresAuthor P40446 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: [Faulks on Fiction, featuresAuthor, Martin Amis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Amis
Context triple: [Faulks on Fiction, featuresAuthor, 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. Julian Barnes
    Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
  • D. David Lodge
    David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • E. Ian McEwan
    Ian McEwan is a renowned British novelist and screenwriter known for his psychologically intricate, morally complex fiction, including works such as "Atonement" and "Amsterdam."
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd8317b0481908d6d1436732253b2 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d2061108190b6250d2943736ae4 completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.