Triple

T12184789
Position Surface form Disambiguated ID Type / Status
Subject C-SPAN E290305 entity
Predicate founder P104 FINISHED
Object Brian Lamb E679388 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: Brian Lamb | Statement: [C-SPAN, founder, Brian Lamb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Lamb
Context triple: [C-SPAN, founder, Brian Lamb]
  • A. Brian Lamb chosen
    Brian Lamb is an American journalist and television executive best known as the founder and longtime CEO of the public affairs network C-SPAN.
  • B. Ralph J. Roberts
    Ralph J. Roberts was an American businessman best known as the co-founder and longtime leader of Comcast, which he helped grow into one of the largest media and telecommunications companies in the United States.
  • C. Howard Kurtz
    Howard Kurtz is an American journalist and media critic best known for hosting media analysis programs on Fox News and CNN and for his long-running media column in The Washington Post.
  • D. Bill Whitaker
    Bill Whitaker is an American television journalist best known as a longtime correspondent for the CBS news magazine program "60 Minutes."
  • E. William Broyles Jr.
    William Broyles Jr. is an American screenwriter and former journalist best known for writing acclaimed films such as "Apollo 13" and "Cast Away."
  • 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_69f64b85782481908cca14d8e8345411 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:50 p.m.