Triple

T14194985
Position Surface form Disambiguated ID Type / Status
Subject New Day E351812 entity
Predicate hasCoAnchor P53098 FINISHED
Object John Berman E651678 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: John Berman | Statement: [New Day, hasCoAnchor, John Berman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Berman
Context triple: [New Day, hasCoAnchor, John Berman]
  • A. John Berman chosen
    John Berman is an American journalist and television news anchor best known for his work on CNN, including co-anchoring major news programs and special event coverage.
  • B. Glenn Kessler
    Glenn Kessler is an American television writer and producer best known as the co-creator of the critically acclaimed legal thriller series "Damages."
  • C. Brian Resnick
    Brian Resnick is a journalist known for his science and health reporting, particularly his explanatory work at outlets like Vox.
  • D. Howard Beck
    Howard Beck is an American sports journalist best known for his in-depth coverage and analysis of the NBA for major outlets such as The New York Times, Bleacher Report, and Sports Illustrated.
  • E. Don Lemon
    Don Lemon is an American television journalist and former CNN anchor known for hosting the prime-time program "CNN Tonight with Don Lemon" and co-anchoring major live events.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.