Triple

T490384
Position Surface form Disambiguated ID Type / Status
Subject Charles Proteus Steinmetz E9974 entity
Predicate employer P7 FINISHED
Object General Electric E13076 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: General Electric | Statement: [Charles Proteus Steinmetz, employer, General Electric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Electric
Context triple: [Charles Proteus Steinmetz, employer, General Electric]
  • A. General Electric chosen
    General Electric is a major American multinational conglomerate historically known for its leadership in industrial manufacturing, aviation, power, and healthcare technologies.
  • B. Westinghouse Electric Corporation
    Westinghouse Electric Corporation was a major American manufacturing and broadcasting conglomerate known for its pioneering role in electrical equipment and its ownership of media assets such as NBC.
  • C. United Technologies Corporation
    United Technologies Corporation was a major American multinational conglomerate known for its aerospace and building systems businesses, including Pratt & Whitney and Otis Elevator, before merging with Raytheon Company.
  • D. Rockwell International
    Rockwell International was a major American manufacturing conglomerate best known in aerospace for building the Space Shuttle orbiters and contributing extensively to U.S. defense and space programs.
  • E. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0e22a308190b04d12974fd08a38 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2a78a48190ac5a1e7f57f9dbd1 completed March 1, 2026, 5:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.