Triple

T14876564
Position Surface form Disambiguated ID Type / Status
Subject Harsha Bhogle E349882 entity
Predicate employer P7 FINISHED
Object All India Radio E31783 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: All India Radio | Statement: [Harsha Bhogle, employer, All India Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All India Radio
Context triple: [Harsha Bhogle, employer, All India Radio]
  • A. All India Radio chosen
    All India Radio is India’s national public radio broadcaster, known for its extensive news, cultural, and music programming across the country.
  • B. Prasar Bharati
    Prasar Bharati is India’s autonomous public service broadcasting corporation, overseeing major national radio and television networks.
  • C. Doordarshan
    Doordarshan is India’s public service broadcaster and one of the country’s oldest and most widely accessible television networks.
  • D. Sansad TV
    Sansad TV is an Indian parliamentary television channel that provides live coverage and analysis of proceedings from the country's legislative bodies along with related public affairs programming.
  • E. Ministry of Information and Broadcasting (India)
    The Ministry of Information and Broadcasting (India) is the central government ministry responsible for regulating and overseeing the country’s information, broadcasting, film, and media sectors.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b54ad7c819082575245da07e358 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.