Triple

T14956915
Position Surface form Disambiguated ID Type / Status
Subject Ronald Joseph Aaron Burgundy E372954 entity
Predicate worksFor P5820 FINISHED
Object KVWN Channel 4 News E372955 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: KVWN Channel 4 News | Statement: [Ronald Joseph Aaron Burgundy, worksFor, KVWN Channel 4 News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVWN Channel 4 News
Context triple: [Ronald Joseph Aaron Burgundy, worksFor, KVWN Channel 4 News]
  • A. KVWN Channel 4 News chosen
    KVWN Channel 4 News is the fictional San Diego television news station featured in the comedy film "Anchorman," where Ron Burgundy works as a lead anchorman.
  • B. KVWN
    KVWN is the fictional San Diego television news station featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • C. WTVD
    WTVD is a local ABC-affiliated television station serving the Raleigh–Durham (Research Triangle) region of North Carolina.
  • D. KVVT Channel 9 News
    KVVT Channel 9 News is a fictional television news station portrayed as the rival newsroom to KVWN Channel 4 News in the Anchorman comedy franchise.
  • E. KNTV
    KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
  • 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_69fe8bda691481909c2d89a362782ed8 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:40 a.m.