Triple

T4941734
Position Surface form Disambiguated ID Type / Status
Subject H. Lawrence Culp Jr. E110950 entity
Predicate associatedWith P37 FINISHED
Object GE Power 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: GE Power | Statement: [H. Lawrence Culp Jr., associatedWith, GE Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GE Power
Context triple: [H. Lawrence Culp Jr., associatedWith, GE Power]
  • 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. Siemens Energy
    Siemens Energy is a global energy technology company specializing in power generation, transmission, and related services for conventional and renewable energy systems.
  • C. GE Hitachi Nuclear Energy
    GE Hitachi Nuclear Energy is a global nuclear technology company that designs and supplies nuclear reactors and related services for power generation.
  • D. Exelon
    Exelon is a major American energy company and utility services holding corporation, known for operating one of the largest fleets of nuclear power plants in the United States.
  • E. Solar Turbines Incorporated
    Solar Turbines Incorporated is an industrial manufacturer specializing in gas turbine engines and related energy solutions for power generation, oil and gas, and other heavy industries.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708ba9888190baf4e79c8f159e9f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89eefa5c8190871debbb8fe6dabe completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:31 p.m.