Triple

T20349040
Position Surface form Disambiguated ID Type / Status
Subject Ray Barrett E495958 entity
Predicate notableWork P4 FINISHED
Object The Cars That Ate Paris — 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: The Cars That Ate Paris | Statement: [Ray Barrett, notableWork, The Cars That Ate Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Cars That Ate Paris
Context triple: [Ray Barrett, notableWork, The Cars That Ate Paris]
  • A. The Cars That Ate Paris chosen
    The Cars That Ate Paris is a 1974 Australian cult horror-comedy film directed by Peter Weir, known for its darkly satirical take on small-town life and car culture.
  • B. No Cars Go
    "No Cars Go" is a soaring, anthemic indie rock song by Arcade Fire, known for its expansive arrangement and themes of escape and transcendence.
  • C. My Mother the Car
    My Mother the Car is a 1960s American fantasy sitcom about a man whose deceased mother is reincarnated as his talking antique automobile.
  • D. Dreamcar
    Dreamcar is an American new wave-influenced rock supergroup featuring members of No Doubt and AFI.
  • E. Les Carroz-d’Arâches
    Les Carroz-d’Arâches is a French Alpine village and ski resort in the Haute-Savoie department, known for its access to the Grand Massif ski area.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783af5dc8190a40c3b9816cd1aef completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.