Triple

T3621639
Position Surface form Disambiguated ID Type / Status
Subject Ron Burgundy E76739 entity
Predicate portrayedBy P1507 FINISHED
Object Will Ferrell E12114 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: Will Ferrell | Statement: [Ron Burgundy, portrayedBy, Will Ferrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Ferrell
Context triple: [Ron Burgundy, portrayedBy, Will Ferrell]
  • A. Will Ferrell chosen
    Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
  • B. Owen Wilson
    Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
  • C. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • D. Rob Riggle
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • E. Jim Carrey
    Jim Carrey is a Canadian-American actor and comedian renowned for his energetic slapstick performances and leading roles in films such as "Ace Ventura," "The Mask," and "Eternal Sunshine of the Spotless Mind."
  • 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_69b5a826850c8190b7c6853e12d09606 completed March 14, 2026, 6:25 p.m.
Created at: March 8, 2026, 3:23 p.m.