Triple

T18216195
Position Surface form Disambiguated ID Type / Status
Subject Temple E436164 entity
Predicate hasNotableBearer P458 FINISHED
Object Julian Temple NE NERFINISHED

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: Julian Temple | Statement: [Temple, hasNotableBearer, Julian Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Temple
Context triple: [Temple, hasNotableBearer, Julian Temple]
  • A. Julien Temple chosen
    Julien Temple is a British film and music video director known for his influential work with punk and rock artists, including landmark films about the Sex Pistols.
  • B. Douglas Gerrard
    Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
  • C. Christopher Doyle
    Christopher Doyle is an acclaimed Australian-Hong Kong cinematographer renowned for his visually inventive work on films such as those by Wong Kar-wai and other international auteurs.
  • D. James Lucas Yeo
    James Lucas Yeo was a British Royal Navy officer of the early 19th century, noted for his leadership in naval operations during the War of 1812.
  • E. Michael Radford
    Michael Radford is a British film director and screenwriter best known for works such as "Nineteen Eighty-Four" and "Il Postino."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47765a081908d0bbca1245f89ba completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.