Triple

T18457384
Position Surface form Disambiguated ID Type / Status
Subject The Aeronauts E450937 entity
Predicate castMember P1668 FINISHED
Object Himesh Patel 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: Himesh Patel | Statement: [The Aeronauts, castMember, Himesh Patel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himesh Patel
Context triple: [The Aeronauts, castMember, Himesh Patel]
  • A. Himesh Patel chosen
    Himesh Patel is a British actor best known for his breakout lead role in the film "Yesterday" and supporting performances in major productions like "Tenet" and the series "Station Eleven."
  • B. Sacha Dhawan
    Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
  • C. Avan Jogia
    Avan Jogia is a Canadian actor best known for his breakout role on the Nickelodeon series "Victorious" and subsequent work in film and television.
  • D. Vikrant Massey
    Vikrant Massey is an Indian actor known for his versatile performances in television, films, and streaming series such as "A Death in the Gunj," "Mirzapur," and "Haseen Dillruba."
  • E. Varun Dhawan
    Varun Dhawan is a popular Indian film actor known for his work in contemporary Bollywood cinema, particularly in commercial comedies and dramas.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264ce5948190b57baa2ea71297a9 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.