Triple

T10194628
Position Surface form Disambiguated ID Type / Status
Subject Pet E238129 entity
Predicate screenwriter P2831 FINISHED
Object Jeremy Slater E322030 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: Jeremy Slater | Statement: [Pet, screenwriter, Jeremy Slater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Slater
Context triple: [Pet, screenwriter, Jeremy Slater]
  • A. Jeremy Slater chosen
    Jeremy Slater is an American screenwriter and producer best known for his work on genre projects such as the 2015 Fantastic Four film and the TV series The Exorcist and Moon Knight.
  • B. Ian Slater
    Ian Slater is a film editor best known for his work on major feature films, including entries in the Twilight Saga.
  • C. Adrian Sutton
    Adrian Sutton is a British composer best known for his theatrical scores, particularly his work with the National Theatre in London.
  • D. Rohan Drysdale
    Rohan Drysdale is an individual notable enough to be recognized as a bearer of the Drysdale surname, though specific widely known public details about him are not readily available.
  • E. Christopher Le Brun
    Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317dbfb7c819087aafc7161b14707 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:13 p.m.