Triple

T22442080
Position Surface form Disambiguated ID Type / Status
Subject Dev Anand E554776 entity
Predicate notableWork P4 FINISHED
Object Baazi 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: Baazi | Statement: [Dev Anand, notableWork, Baazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baazi
Context triple: [Dev Anand, notableWork, Baazi]
  • A. Baazi chosen
    Baazi is a 1951 Hindi film noir crime thriller directed by Guru Dutt that marked his directorial debut and became a landmark in Indian cinema.
  • B. Khela
    Khela is an Indian Bengali film featuring actress Raima Sen in a prominent role.
  • C. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • D. Mando Khel
    Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
  • E. Jaanbaaz
    Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.