Triple

T22075896
Position Surface form Disambiguated ID Type / Status
Subject Naushad E545519 entity
Predicate workedWith P398 FINISHED
Object Meena Kumari 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: Meena Kumari | Statement: [Naushad, workedWith, Meena Kumari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meena Kumari
Context triple: [Naushad, workedWith, Meena Kumari]
  • A. Meena Kumari chosen
    Meena Kumari was a legendary Indian film actress and poet, celebrated as the "Tragedy Queen" of the Golden Age of Hindi cinema for her intensely emotional and nuanced performances.
  • B. Nargis Dutt
    Nargis Dutt was a pioneering and acclaimed Indian film actress, best known for her powerful performances in classic Hindi cinema such as "Mother India" and for her influential legacy in Indian film history.
  • C. Devika Rani
    Devika Rani was a pioneering Indian film actress and producer, often called the "First Lady of Indian cinema" for her influential work in early Hindi films and co-founding Bombay Talkies.
  • D. Madhubala
    Madhubala was a legendary Indian film actress of Hindi cinema’s golden era, celebrated for her beauty, charisma, and iconic performances in classics like "Mughal-e-Azam."
  • E. Bisesa Dutt
    Bisesa Dutt is a central protagonist in Arthur C. Clarke and Stephen Baxter’s "Time's Eye," an astronaut and former British Army officer who becomes key to unraveling the mystery of a fractured, time-spliced Earth.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b1904881909a1769ce8be39e05 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.