Triple

T6967955
Position Surface form Disambiguated ID Type / Status
Subject Golden Age of Hindi cinema E161533 entity
Predicate notableActress P7010 FINISHED
Object Madhubala E545513 NE FINISHED

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: Madhubala | Statement: [Golden Age of Hindi cinema, notableActress, Madhubala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madhubala
Context triple: [Golden Age of Hindi cinema, notableActress, Madhubala]
  • A. Madhubala chosen
    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."
  • B. Vyjayanthimala
    Vyjayanthimala is a legendary Indian film actress and Bharatanatyam dancer, celebrated as one of the foremost stars of Hindi cinema’s golden age.
  • C. Smita Patil
    Smita Patil was a critically acclaimed Indian actress known for her powerful performances in parallel cinema during the 1970s and 1980s.
  • D. Saira Banu
    Saira Banu is a celebrated Indian film actress best known for her work in Hindi cinema during the 1960s and 1970s and as the wife of legendary actor Dilip Kumar.
  • E. Dimple Kapadia
    Dimple Kapadia is a renowned Indian film actress known for her work in Hindi cinema since the 1970s, acclaimed for both mainstream and critically lauded roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1373d88190967b42630f8688d6 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76195e69c8190a8f7d9ca223a96e6 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.