Triple

T17258981
Position Surface form Disambiguated ID Type / Status
Subject Russ Hodges E418959 entity
Predicate employer P7 FINISHED
Object CBS Radio E34492 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: CBS Radio | Statement: [Russ Hodges, employer, CBS Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS Radio
Context triple: [Russ Hodges, employer, CBS Radio]
  • A. CBS Radio chosen
    CBS Radio was a major American radio network that became widely known for broadcasting President Franklin D. Roosevelt’s influential Fireside Chats and other national news and entertainment programs during the 20th century.
  • B. NBC Radio
    NBC Radio was a major American radio network that broadcast national news, entertainment, and sports programming throughout much of the 20th century.
  • C. CBS News Radio
    CBS News Radio is a U.S. radio network that provides national and international news, features, and special reports to affiliated radio stations.
  • D. WBZ-FM
    WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
  • E. Rogers Broadcasting
    Rogers Broadcasting was the former name of the Canadian media company now known as Rogers Media, which operates television, radio, and digital media properties across Canada.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ea7588190a94d222504a8cef5 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017101d5dc8190ac6507344897b0f3 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.