Triple

T8305759
Position Surface form Disambiguated ID Type / Status
Subject KCRA-TV E194458 entity
Predicate digitalSubchannel P82644 FINISHED
Object 3.2 MeTV E349826 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: 3.2 MeTV | Statement: [KCRA-TV, digitalSubchannel, 3.2 MeTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3.2 MeTV
Context triple: [KCRA-TV, digitalSubchannel, 3.2 MeTV]
  • A. MeTV chosen
    MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
  • B. La Quinta Channel
    La Quinta Channel is a deep-draft shipping channel in the Corpus Christi, Texas area that serves industrial and port facilities along the Gulf Coast.
  • C. Four Star Television
    Four Star Television was a prominent American television production company, especially active in the 1950s and 1960s, known for creating and producing numerous popular drama and western series.
  • D. MTV3
    MTV3 is one of Finland’s largest commercial television channels, known for its wide range of entertainment, news, and sports programming.
  • E. Magnet TV
    Magnet TV is a pioneering 1965 video art piece by Nam June Paik that uses a magnet to distort a live television image, challenging conventional notions of broadcast media and visual perception.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cbd11ed22c819082bf036602eaa038 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.