Triple

T14957014
Position Surface form Disambiguated ID Type / Status
Subject The Ron Burgundy Podcast E372956 entity
Predicate characterName P36851 FINISHED
Object Ron Burgundy E76739 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: Ron Burgundy | Statement: [The Ron Burgundy Podcast, characterName, Ron Burgundy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Burgundy
Context triple: [The Ron Burgundy Podcast, characterName, Ron Burgundy]
  • A. Ron Burgundy chosen
    Ron Burgundy is the pompous yet lovable 1970s San Diego news anchor protagonist of the comedy film "Anchorman," known for his over-the-top personality and catchphrases.
  • B. Nick Swardson
    Nick Swardson is an American comedian, actor, and writer known for his offbeat characters and frequent collaborations with Adam Sandler in various comedy films and TV shows.
  • C. Ted McGinley
    Ted McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "The Love Boat."
  • D. John Shea
    John Shea is an American actor and director best known for his roles in the TV series "Lois & Clark: The New Adventures of Superman" and the film "Missing."
  • E. John Shea
    John Shea was a notable figure significant enough in his community or institution to have the athletic facility Shea Field named in his honor.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31a49d88190a200c427fe02616f completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 2:40 a.m.