Triple

T15472280
Position Surface form Disambiguated ID Type / Status
Subject Dick Cavett E376691 entity
Predicate employer P7 FINISHED
Object Public Broadcasting Service E8587 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: Public Broadcasting Service | Statement: [Dick Cavett, employer, Public Broadcasting Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Public Broadcasting Service
Context triple: [Dick Cavett, employer, Public Broadcasting Service]
  • A. Corporation for Public Broadcasting
    The Corporation for Public Broadcasting is a nonprofit corporation created by the U.S. government to fund and support public television and radio, including networks like PBS and NPR.
  • B. American Public Television
    American Public Television is a major U.S. syndicator and distributor of public television programming, providing content and services to public TV stations nationwide.
  • C. RSU Public TV
    RSU Public TV is an educational public television station operated by Rogers State University, offering instructional, cultural, and community-focused programming.
  • D. PBS chosen
    PBS is a U.S. public television network known for educational, scientific, and cultural programming.
  • E. PBS
    PBS is a U.S. federal agency component responsible for managing and providing government office space and real property for civilian agencies.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0543f881909dfbbc77f2a96a1a completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.