Triple

T18288430
Position Surface form Disambiguated ID Type / Status
Subject John Facenda E438043 entity
Predicate employer P7 FINISHED
Object WCAU-TV NE NERFINISHED

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: WCAU-TV | Statement: [John Facenda, employer, WCAU-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WCAU-TV
Context triple: [John Facenda, employer, WCAU-TV]
  • A. WCAU-TV chosen
    WCAU-TV is a Philadelphia-based television station that has long served as a major local news and broadcasting outlet in the region.
  • B. WPVI-TV
    WPVI-TV is a major ABC-owned and operated television station serving the Philadelphia, Pennsylvania media market.
  • C. WTAE-TV
    WTAE-TV is a Pittsburgh-based television station that serves as the local ABC network affiliate.
  • D. WPHL-TV
    WPHL-TV is an independent television station based in Philadelphia, Pennsylvania, known for its local programming and syndicated content.
  • E. WCAU-FM
    WCAU-FM was a Philadelphia-based FM radio station best known for its Top 40 format in the late 20th century before later rebranding as WOGL.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500fc49b88190bd5b562e0a959e9d completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.