Triple

T12542363
Position Surface form Disambiguated ID Type / Status
Subject Almost Live! E299872 entity
Predicate originalNetwork P2594 FINISHED
Object KING-TV E53105 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: KING-TV | Statement: [Almost Live!, originalNetwork, KING-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KING-TV
Context triple: [Almost Live!, originalNetwork, KING-TV]
  • A. KING-TV chosen
    KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
  • B. KCAL-TV
    KCAL-TV is a Los Angeles-based television station known for its local news and sports coverage, including broadcasts of Los Angeles Lakers games.
  • C. KSL-TV
    KSL-TV is a television station based in Salt Lake City, Utah, known for its local news coverage and affiliation with the NBC network.
  • D. KSAZ-TV
    KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
  • E. KTHV
    KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557e6d4c81909ed54a039e92a160 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.