Triple

T15598949
Position Surface form Disambiguated ID Type / Status
Subject Paul Rudd as Brian Fantana E374979 entity
Predicate team P3756 FINISHED
Object KVWN Channel 4 News Team 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 Team | Statement: [Paul Rudd as Brian Fantana, team, KVWN Channel 4 News Team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KVWN Channel 4 News Team
Context triple: [Paul Rudd as Brian Fantana, team, KVWN Channel 4 News Team]
  • 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. Channel 4 News Team
    The Channel 4 News Team is the fictional San Diego television news crew featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • D. WTVD
    WTVD is a local ABC-affiliated television station serving the Raleigh–Durham (Research Triangle) region of North Carolina.
  • E. Channel Four Wales
    Channel Four Wales is the English-language name for S4C, the Welsh-language public service television channel broadcasting in Wales.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ccc40c8190a3b1339404e6897f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.