Triple

T21679800
Position Surface form Disambiguated ID Type / Status
Subject Jagged Little Pill (musical) E535070 entity
Predicate producer P490 FINISHED
Object Arvind Ethan David 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: Arvind Ethan David | Statement: [Jagged Little Pill (musical), producer, Arvind Ethan David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvind Ethan David
Context triple: [Jagged Little Pill (musical), producer, Arvind Ethan David]
  • A. Arvind Ethan David chosen
    Arvind Ethan David is a British-Malaysian film, television, and theatre producer and writer known for adapting and producing genre and comic-based projects across media.
  • B. Jay Mehta
    Jay Mehta is an Indian businessman and industrialist, known for his interests in cement and other industries and for being married to actress Juhi Chawla.
  • C. Manish Dayal
    Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
  • D. Arjun Malhotra
    Arjun Malhotra is an Indian entrepreneur and co-founder of the global IT services company HCL Technologies.
  • E. Anuj Choudhry
    Anuj Choudhry is an Indian actor known for his role in the Hindi romantic drama film "Mirzya" (2016).
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a11ce548190aaff404aed6a76cd completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.