Triple

T22146756
Position Surface form Disambiguated ID Type / Status
Subject Zaheer Khan E547305 entity
Predicate awardReceived P11 FINISHED
Object Arjuna Award 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: Arjuna Award | Statement: [Zaheer Khan, awardReceived, Arjuna Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arjuna Award
Context triple: [Zaheer Khan, awardReceived, Arjuna Award]
  • A. Arjuna Award chosen
    The Arjuna Award is one of India’s highest sporting honors, recognizing outstanding achievement and consistent excellence by the country’s athletes across various disciplines.
  • B. Raghupathi Venkaiah Award
    The Raghupathi Venkaiah Award is a prestigious lifetime achievement honor presented by the Andhra Pradesh government to recognize outstanding contributions to Telugu cinema.
  • C. Swarna Kamal (Golden Lotus) Award
    The Swarna Kamal (Golden Lotus) Award is the highest honor presented at India’s National Film Awards, recognizing the most outstanding achievements in Indian cinema.
  • D. Dadasaheb Phalke Award
    The Dadasaheb Phalke Award is India’s highest honor in cinema, presented annually to recognize lifetime contribution to the growth and development of Indian film.
  • E. Shankar Puraskar
    Shankar Puraskar is a literary award presented by Bharatiya Jnanpith to honor outstanding works in Hindi literature.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f156988190bc9a24a37418e849 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.