Triple

T4698092
Position Surface form Disambiguated ID Type / Status
Subject Daniel Levy E104198 entity
Predicate name P16 FINISHED
Object Daniel Levy E104198 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: Daniel Levy | Statement: [Daniel Levy, name, Daniel Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Levy
Context triple: [Daniel Levy, name, Daniel Levy]
  • A. Daniel Levy chosen
    Daniel Levy is a British businessman best known for his long-serving and influential role as chairman of Premier League football club Tottenham Hotspur.
  • B. Dan Levy
    Dan Levy is a Canadian actor, writer, and producer best known as the co-creator and star of the acclaimed television series "Schitt's Creek."
  • C. Clive Jones
    Clive Jones is a recurring supporting character in the British science fiction series Doctor Who, known as the father of companion Martha Jones.
  • D. Denholm Elliott
    Denholm Elliott was a distinguished English character actor known for his versatile performances in film and television, including notable roles in movies such as "Raiders of the Lost Ark" and "A Room with a View."
  • E. Julian Amery
    Julian Amery was a prominent British Conservative politician and minister known for his roles in defense and colonial affairs during the mid-20th century.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63b57e1c8190962d97e4805974ed completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03c7469081908cf587b2356a4320 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.