Triple

T7524894
Position Surface form Disambiguated ID Type / Status
Subject Amitabh Bachchan E177866 entity
Predicate givenName P17 FINISHED
Object Amitabh E177866 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: Amitabh | Statement: [Amitabh Bachchan, givenName, Amitabh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amitabh
Context triple: [Amitabh Bachchan, givenName, Amitabh]
  • A. Amitabh Bachchan chosen
    Amitabh Bachchan is a legendary Indian film actor, often called the "Shahenshah of Bollywood," renowned for his powerful performances across Hindi and other regional cinemas since the 1970s.
  • B. Rajesh Khanna
    Rajesh Khanna was a legendary Indian film actor and the first major superstar of Hindi cinema, renowned for his romantic roles and massive fan following in the late 1960s and 1970s.
  • C. Dilip Kumar
    Dilip Kumar was a legendary Indian film actor, celebrated as the "Tragedy King" of Hindi cinema and renowned for his intense, nuanced performances in classic Bollywood films.
  • D. Sunil Dutt
    Sunil Dutt was a prominent Indian film actor, producer, and politician known for his humanitarian work and long association with the Indian National Congress.
  • E. Sanjeev Kumar
    Sanjeev Kumar was a highly acclaimed Indian film actor known for his versatile performances in both mainstream and parallel cinema during the 1960s and 1970s.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c61b508190b582f54ecbb387e3 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84631e6bc819099b3a7819c3ae9a7 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.