Triple

T17595527
Position Surface form Disambiguated ID Type / Status
Subject The Catcher Was a Spy E428559 entity
Predicate cinematographyBy P1953 FINISHED
Object Andrij Parekh 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: Andrij Parekh | Statement: [The Catcher Was a Spy, cinematographyBy, Andrij Parekh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrij Parekh
Context triple: [The Catcher Was a Spy, cinematographyBy, Andrij Parekh]
  • A. Andrij Parekh chosen
    Andrij Parekh is an American cinematographer and director known for his intimate, naturalistic visual style in independent films and television.
  • B. Dinesh Patel
    Dinesh Patel is an Indian baseball pitcher who became one of the first winners of the "Million Dollar Arm" talent search, leading to a professional contract in the United States.
  • C. Naveen Andrews
    Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
  • D. Parthiv Patel
    Parthiv Patel is a former Indian wicketkeeper-batsman who represented India in all three formats and had a long domestic career in Indian cricket.
  • E. Karim Morani
    Karim Morani is an Indian film producer known for backing several successful Bollywood movies and being associated with prominent industry figures and major film projects.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.