Triple

T3621654
Position Surface form Disambiguated ID Type / Status
Subject Ron Burgundy E76739 entity
Predicate hasColleague P398 FINISHED
Object Brian Fantana E372918 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 Fantana | Statement: [Ron Burgundy, hasColleague, Brian Fantana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Fantana
Context triple: [Ron Burgundy, hasColleague, Brian Fantana]
  • A. Brian Fantana chosen
    Brian Fantana is a charismatic but comically sleazy field reporter and member of the Channel 4 news team in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • B. Joe Mantello
    Joe Mantello is an acclaimed American actor and director, particularly renowned for his work on Broadway in both plays and musicals.
  • C. Jerry Colonna
    Jerry Colonna was an American comedian, actor, and musician best known for his wild-eyed persona and frequent collaborations with Bob Hope in radio, film, and television.
  • D. Max Martini
    Max Martini is an American actor known for his tough, military and law-enforcement roles in film and television, including major parts in action and science fiction movies.
  • E. Tony Plana
    Tony Plana is a Cuban-American actor and director best known for his role as Ignacio Suarez on the television series "Ugly Betty."
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f0e8d1c8190ae1728d07d5a9e87 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.