Triple

T19576529
Position Surface form Disambiguated ID Type / Status
Subject Manish Sisodia E489869 entity
Predicate previousEmployer P1910 FINISHED
Object All India Radio 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: All India Radio | Statement: [Manish Sisodia, previousEmployer, All India Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All India Radio
Context triple: [Manish Sisodia, previousEmployer, 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. New Delhi Television Limited
    New Delhi Television Limited (NDTV) is a prominent Indian news media company known for its influential television news channels and digital journalism platforms.
  • E. 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.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64024c5b08190bbff6df633857874 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.