Triple

T1555504
Position Surface form Disambiguated ID Type / Status
Subject NOVA ScienceNow E33194 entity
Predicate originalNetwork P2594 FINISHED
Object PBS 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: PBS | Statement: [NOVA ScienceNow, originalNetwork, PBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PBS
Context triple: [NOVA ScienceNow, originalNetwork, PBS]
  • A. PBS chosen
    PBS is a U.S. public television network known for educational, scientific, and cultural programming.
  • B. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • C. CBS
    CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
  • D. 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.
  • E. PBS Digital Studios
    PBS Digital Studios is an online network of original educational and pop-culture web series that extends PBS’s public media mission to digital platforms like YouTube.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa620eed9081908921530fd60656b7 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad370e10248190b060a0209b979ef9 completed March 8, 2026, 8:45 a.m.
Created at: March 4, 2026, 7:27 p.m.