Triple

T16015923
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Strange & Mr Norrell E388465 entity
Predicate director P255 FINISHED
Object Toby Haynes E678583 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: Toby Haynes | Statement: [Jonathan Strange & Mr Norrell, director, Toby Haynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toby Haynes
Context triple: [Jonathan Strange & Mr Norrell, director, Toby Haynes]
  • A. Toby Haynes chosen
    Toby Haynes is a British television director known for his work on high-profile genre series such as Doctor Who, Sherlock, and the Star Wars series Andor.
  • B. Toby Nealey
    Toby Nealey is the central protagonist of the British thriller film "I Came By," around whom the story’s suspenseful events and moral conflicts revolve.
  • C. Toby Rowland
    Toby Rowland is a tech entrepreneur best known as a co-founder of the mobile gaming company behind the hit game Candy Crush Saga.
  • D. Toby Marks
    Toby Marks is an actor known for appearing in the exploitation film "Caged Heat."
  • E. Toby Harvard
    Toby Harvard is a British screenwriter known for his work on offbeat and genre-bending films, including collaborations with director Ant Timpson such as the horror-comedy "Come to Daddy."
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.