Triple

T8183522
Position Surface form Disambiguated ID Type / Status
Subject Phyllis E191124 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: [Phyllis, productionCompany, MTM Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTM Enterprises
Context triple: [Phyllis, 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 company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • C. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • D. 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.
  • E. RahMoc Enterprises
    RahMoc Enterprises was a NASCAR racing team that fielded cars for drivers including Neil Bonnett during its tenure in stock car competition.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf95fd5c81908391dc160723b9e9 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:41 p.m.