Triple

T4870544
Position Surface form Disambiguated ID Type / Status
Subject Turner Classic Movies E109074 entity
Predicate abbreviation P43 FINISHED
Object TCM E158996 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: TCM | Statement: [Turner Classic Movies, abbreviation, TCM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCM
Context triple: [Turner Classic Movies, abbreviation, TCM]
  • A. TCM
    TCM is the IATA airport code for McChord Field at Joint Base Lewis–McChord in Washington State, USA.
  • B. TCM chosen
    TCM (Turner Classic Movies) is a cable television network known for broadcasting classic films, primarily from Hollywood’s golden age, commercial-free and with expert introductions.
  • C. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • D. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • E. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9c77b88190b3e6884c9752ebbb completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ee93c08190b3c5b130f82f4bba completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.