Triple

T3357821
Position Surface form Disambiguated ID Type / Status
Subject Mary Tyler Moore E70646 entity
Predicate employer P7 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 Tyler Moore, employer, MTM Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTM Enterprises
Context triple: [Mary Tyler Moore, employer, 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. J&M Entertainment
    J&M Entertainment is a film production company best known for producing the 1993 drama "What's Eating Gilbert Grape."
  • D. MICA Entertainment
    MICA Entertainment is a film production company known for helping finance and produce feature films such as the historical adventure drama "The Lost City of Z."
  • E. Ad Hominem Enterprises
    Ad Hominem Enterprises is a film and television production company associated with projects linked to Cedar Rapids.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb244435c81908e35d2aa36ec4f46 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3253e91988190bbfdafdf88ab0df1 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.