Triple

T12184825
Position Surface form Disambiguated ID Type / Status
Subject C-SPAN E290305 entity
Predicate subjectOf P38 FINISHED
Object C-SPAN (website) E290305 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: C-SPAN (website) | Statement: [C-SPAN, subjectOf, C-SPAN (website)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C-SPAN (website)
Context triple: [C-SPAN, subjectOf, C-SPAN (website)]
  • A. C‑SPAN chosen
    C‑SPAN is an American public service cable network best known for its uninterrupted, gavel-to-gavel coverage of U.S. government proceedings and public affairs programming.
  • B. Cable News Network
    Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
  • C. Fox News Channel
    Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
  • D. CBS News
    CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
  • E. MSNBC
    MSNBC is a U.S.-based cable news and opinion television network known for its liberal-leaning political coverage and analysis.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8a92688190867b3e7191c3f43e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.