Triple

T3134653
Position Surface form Disambiguated ID Type / Status
Subject Thom Mount E65498 entity
Predicate founded P104 FINISHED
Object The Mount Company E55592 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: The Mount Company | Statement: [Thom Mount, founded, The Mount Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mount Company
Context triple: [Thom Mount, founded, The Mount Company]
  • A. Mount Company chosen
    Mount Company is a film production company best known for producing the 1988 baseball romantic comedy "Bull Durham."
  • B. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • C. United Company
    United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
  • D. John Company
    John Company is a historical nickname for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • E. MWAK Company
    MWAK Company was a major construction consortium responsible for building the Grand Coulee Dam, one of the largest concrete structures and hydroelectric power projects in the United States.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada562540081908627950dd0b56a1e completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f84d8288190b1f48fa0f5c10773 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.