Triple

T11829101
Position Surface form Disambiguated ID Type / Status
Subject Joe Franklin E281336 entity
Predicate employer P7 FINISHED
Object WOR Radio E817954 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: WOR Radio | Statement: [Joe Franklin, employer, WOR Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOR Radio
Context triple: [Joe Franklin, employer, WOR Radio]
  • A. WOR (AM) chosen
    WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
  • B. WINS (AM)
    WINS (AM) is a New York City all-news radio station known for its 24-hour news format and the slogan "You give us 22 minutes, we'll give you the world."
  • C. WWHR-FM
    WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
  • D. Capital Radio
    Capital Radio is a major London-based commercial radio station that became widely known in the 1970s and 1980s for its popular music programming and influential presenters.
  • E. WGN Radio
    WGN Radio is a historic Chicago-based AM radio station known for its news, talk, and sports programming and long association with the Chicago Tribune.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.