Triple

T14378287
Position Surface form Disambiguated ID Type / Status
Subject MTV Oy E356530 entity
Predicate brand P1500 FINISHED
Object Sub E1095989 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: Sub | Statement: [MTV Oy, brand, Sub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sub
Context triple: [MTV Oy, brand, Sub]
  • A. Sub chosen
    Sub is a Finnish television channel known for its youth-oriented entertainment programming, including imported series, reality shows, and comedy.
  • B. SUB
    SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
  • C. subant
    subant is an Apache Ant task that allows one build script to invoke and control other Ant build files as part of a larger build process.
  • D. Subcon
    Subcon is the dreamlike fantasy world that serves as the primary backdrop for the video game Super Mario Bros. 2.
  • E. Subtitle C
    Subtitle C is the portion of the Resource Conservation and Recovery Act that establishes the federal regulatory framework for managing hazardous waste from its generation through its final disposal.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.