Triple

T19273885
Position Surface form Disambiguated ID Type / Status
Subject Guru Dutt E481996 entity
Predicate alsoKnownAs P39 FINISHED
Object Gurudutt Padukone 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: Gurudutt Padukone | Statement: [Guru Dutt, alsoKnownAs, Gurudutt Padukone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gurudutt Padukone
Context triple: [Guru Dutt, alsoKnownAs, Gurudutt Padukone]
  • A. Pankaj Kapur
    Pankaj Kapur is an acclaimed Indian actor and director known for his powerful performances in film, television, and theatre.
  • B. Prakash Padukone
    Prakash Padukone is a former Indian badminton champion widely regarded as one of the country’s greatest players and a pioneer of the sport in India.
  • C. Pankaj Tripathi
    Pankaj Tripathi is an acclaimed Indian actor known for his versatile character roles in Hindi films and web series such as Gangs of Wasseypur, Newton, and Mirzapur.
  • D. Guru Dutt Padukone chosen
    Guru Dutt Padukone, popularly known as Guru Dutt, was a pioneering Indian film director, producer, and actor renowned for his poetic, melancholic Hindi cinema classics of the 1950s and early 1960s.
  • E. Vikas Khanna
    Vikas Khanna is an acclaimed Indian chef, restaurateur, cookbook author, and filmmaker known for his Michelin-starred cooking and appearances on culinary television shows.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.