Triple

T16589100
Position Surface form Disambiguated ID Type / Status
Subject Smita Patil E403034 entity
Predicate employer P7 FINISHED
Object Doordarshan E128419 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: Doordarshan | Statement: [Smita Patil, employer, Doordarshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doordarshan
Context triple: [Smita Patil, employer, Doordarshan]
  • A. Doordarshan chosen
    Doordarshan is India’s public service broadcaster and one of the country’s oldest and most widely accessible television networks.
  • B. Prasar Bharati
    Prasar Bharati is India’s autonomous public service broadcasting corporation, overseeing major national radio and television networks.
  • C. 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.
  • D. Vijay TV
    Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
  • E. Pakistan Television Corporation
    Pakistan Television Corporation is Pakistan’s state-owned public television broadcaster, operating multiple national and regional channels that air news, entertainment, sports, and cultural programming.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007599dcd4819089bbd0569b3d9a12 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.