Triple

T14162693
Position Surface form Disambiguated ID Type / Status
Subject Mary (1978 TV series) E350987 entity
Predicate productionCompany P490 FINISHED
Object MTM Enterprises E268658 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: MTM Enterprises | Statement: [Mary (1978 TV series), productionCompany, MTM Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTM Enterprises
Context triple: [Mary (1978 TV series), productionCompany, MTM Enterprises]
  • A. MTM Enterprises chosen
    MTM Enterprises was an American television production company, co-founded by actress Mary Tyler Moore, known for creating influential series such as The Mary Tyler Moore Show and other acclaimed dramas and comedies.
  • B. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • C. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • D. MTM
    MTM is a music-focused project or group associated with the artist Mio, likely involved in collaborative releases or performances.
  • E. MTP Group
    MTP Group is a major Polish trade fair and event organizing company based in Poznań, known for hosting large-scale international exhibitions, conferences, and business events.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f3170481909f3981c1e56235d9 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:59 a.m.