Triple

T6920657
Position Surface form Disambiguated ID Type / Status
Subject Sadie Smith E160175 entity
Predicate notableWork P4 FINISHED
Object The Autograph Man E160177 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: The Autograph Man | Statement: [Sadie Smith, notableWork, The Autograph Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Autograph Man
Context triple: [Sadie Smith, notableWork, The Autograph Man]
  • A. The Autograph Man chosen
    The Autograph Man is a novel by Zadie Smith that satirically explores celebrity culture, identity, and obsession through the life of a professional autograph collector in contemporary London.
  • B. The Bag Man
    The Bag Man is a 2014 neo-noir crime thriller film starring John Cusack and Robert De Niro, centered on a hitman tasked with retrieving a mysterious bag at a remote motel.
  • C. Mr. Papers
    Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
  • D. The Man
    The Man is a film featuring actor Richard Gant in a significant role.
  • E. The Man
    "The Man" is a 2017 funk-influenced rock single by American band The Killers, known for its swaggering, self-confident lyrics and bold, retro sound.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751345edc8190ab0f34120a42571e completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.