Triple

T11706536
Position Surface form Disambiguated ID Type / Status
Subject Ian Fleming Publications E278259 entity
Predicate collaboratedWith P435 FINISHED
Object Anthony Horowitz E349161 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: Anthony Horowitz | Statement: [Ian Fleming Publications, collaboratedWith, Anthony Horowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Horowitz
Context triple: [Ian Fleming Publications, collaboratedWith, Anthony Horowitz]
  • A. Anthony Horowitz chosen
    Anthony Horowitz is a British novelist and screenwriter best known for his Alex Rider spy novels and numerous television crime dramas.
  • B. Nicholas Evans
    Nicholas Evans was a British author best known for his bestselling novel "The Horse Whisperer," which was adapted into a major film.
  • C. Chris Riddell
    Chris Riddell is a British illustrator and political cartoonist renowned for his distinctive artwork in children's literature and fantasy novels.
  • D. Nicholas Ferguson
    Nicholas Ferguson is a British businessman and private equity executive best known as the founding figure behind the global investment firm Permira.
  • E. Philip Kerr
    Philip Kerr was a British author best known for his Bernie Gunther series of historical crime novels set in Nazi and post-war Germany.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef836388bc8190827ce4af609d8b61 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.