Triple

T12604961
Position Surface form Disambiguated ID Type / Status
Subject Network E300953 entity
Predicate character P662 FINISHED
Object Howard Beale E307537 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: Howard Beale | Statement: [Network, character, Howard Beale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Beale
Context triple: [Network, character, Howard Beale]
  • A. Howard Beale in Network chosen
    Howard Beale in *Network* is the fictional, mentally unraveling television news anchor famous for his on-air rant declaring, "I'm as mad as hell, and I'm not going to take this anymore!"
  • B. Don Traeger
    Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
  • C. Ed Kelly
    Ed Kelly is a technology executive best known as a co-founder of the innovative microprocessor company Transmeta.
  • D. Lou Grant
    Lou Grant is a gruff but warm-hearted television news producer, portrayed by Ed Asner, who became one of American TV’s most iconic newsroom bosses and later headlined his own dramatic spin-off series.
  • E. Edward Mulhare
    Edward Mulhare was an Irish actor best known for his roles in film, television, and theatre, including the TV series "Knight Rider" and the stage and screen versions of "The Ghost & Mrs. Muir."
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e7f2dc8190a42cab7a0e5ea7f3 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecd1b748190bd961497b30e1ae5 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:10 p.m.