Triple

T10885646
Position Surface form Disambiguated ID Type / Status
Subject Harold Agnew E257037 entity
Predicate employer P7 FINISHED
Object General Atomic E95683 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 Atomic | Statement: [Harold Agnew, employer, General Atomic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Atomic
Context triple: [Harold Agnew, employer, General Atomic]
  • A. 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.
  • B. General Atomics chosen
    General Atomics is an American defense and technology company known for advanced aerospace, nuclear, and unmanned systems research and development.
  • C. Babcock & Wilcox
    Babcock & Wilcox is an American engineering company best known for designing and supplying boilers and nuclear power plant reactors.
  • D. United States Atomic Energy Commission
    The United States Atomic Energy Commission was the federal agency that oversaw and regulated the development, production, and civilian use of nuclear energy and weapons in the United States during the early Cold War era.
  • E. Gateway Corporation
    Gateway Corporation is an economic development organization in Greater Cleveland focused on promoting local growth and revitalization.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.