Triple

T20449107
Position Surface form Disambiguated ID Type / Status
Subject The Cars That Ate Paris E501598 entity
Predicate castMember P1668 FINISHED
Object John Meillon — 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: John Meillon | Statement: [The Cars That Ate Paris, castMember, John Meillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Meillon
Context triple: [The Cars That Ate Paris, castMember, John Meillon]
  • A. John Meillon chosen
    John Meillon was an Australian actor best known internationally for his role as Walter Reilly in the "Crocodile Dundee" film series.
  • B. Richard Mawhinney
    Richard Mawhinney is the husband of Patricia Scotland, Baroness Scotland of Asthal, a prominent British lawyer and politician who has served as Secretary-General of the Commonwealth of Nations.
  • C. David Mallet
    David Mallet is a renowned British music video director known for his influential work with major rock and pop artists, particularly in the 1980s and 1990s.
  • D. David Mallet
    David Mallet was an 18th-century Scottish poet and dramatist best known for his patriotic and lyrical works in the early Georgian era.
  • E. John Smedley
    John Smedley was a 19th-century English industrialist and textile manufacturer known for his influential role in the hosiery and knitwear industry and for developing hydropathic establishments.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfffae4819086c727f4143c2737 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.