Triple

T22246974
Position Surface form Disambiguated ID Type / Status
Subject Filmfare Award for Best Supporting Actor E549869 entity
Predicate notableWinner P2766 FINISHED
Object Abhishek Bachchan 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: Abhishek Bachchan | Statement: [Filmfare Award for Best Supporting Actor, notableWinner, Abhishek Bachchan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abhishek Bachchan
Context triple: [Filmfare Award for Best Supporting Actor, notableWinner, Abhishek Bachchan]
  • A. Abhishek Bachchan chosen
    Abhishek Bachchan is an Indian film actor and producer known for his work in Bollywood across a range of commercial and critically acclaimed movies.
  • B. Abhishek Pathak
    Abhishek Pathak is an Indian film producer and director known for backing and helming notable Hindi films, including acclaimed thrillers and dramas.
  • C. Tusshar Kapoor
    Tusshar Kapoor is an Indian film actor and producer known for his work in Bollywood comedies such as the "Golmaal" series.
  • D. Kunal Kapoor
    Kunal Kapoor is an Indian actor known for his work in Hindi cinema, particularly for his acclaimed performance in the film "Rang De Basanti."
  • E. Harshvardhan Kapoor
    Harshvardhan Kapoor is an Indian film actor known for his work in Hindi cinema, including his debut in the critically acclaimed film "Mirzya."
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13218d1f88190b64b7f301328fa98 completed April 28, 2026, 10:18 p.m.
Created at: April 16, 2026, 8:38 p.m.