Triple

T16125244
Position Surface form Disambiguated ID Type / Status
Subject Felipe Luciano E391250 entity
Predicate employer P7 FINISHED
Object WNBC-TV E11771 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: WNBC-TV | Statement: [Felipe Luciano, employer, WNBC-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNBC-TV
Context triple: [Felipe Luciano, employer, WNBC-TV]
  • A. WNBC chosen
    WNBC is the primary NBC-owned television station serving the New York City metropolitan area.
  • B. WNEW-TV
    WNEW-TV is a New York City television station historically known as an independent outlet that later became part of the Fox network.
  • C. WNBC (Washington, D.C.)
    WNBC (Washington, D.C.) was a major radio station that served as a prominent platform for influential broadcasters, including shock jock Howard Stern, during its operation.
  • D. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • E. WIVB-TV
    WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2abf9b08190a375abc842a0e7d0 completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5 a.m.