Triple

T9466875
Position Surface form Disambiguated ID Type / Status
Subject Harold Edgerton E228292 entity
Predicate coFounded P104 FINISHED
Object EG&G E545335 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: EG&G | Statement: [Harold Edgerton, coFounded, EG&G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EG&G
Context triple: [Harold Edgerton, coFounded, EG&G]
  • A. EG&G chosen
    EG&G was a major American defense contractor and engineering firm known for its work in nuclear weapons facilities, government research, and specialized technical services.
  • B. United Scientific Instruments
    United Scientific Instruments is a British optics company best known for producing military-grade optical sights and related precision instruments.
  • C. Gage Group
    Gage Group is a historic ensemble of late 19th-century commercial buildings in downtown Chicago, noted for their early skyscraper architecture and association with prominent architects of the Chicago School.
  • D. Gateway Corporation
    Gateway Corporation is an economic development organization in Greater Cleveland focused on promoting local growth and revitalization.
  • E. EIT Manufacturing West
    EIT Manufacturing West is a regional innovation hub within the EIT Manufacturing network that supports manufacturing innovation, education, and entrepreneurship in Western Europe.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdd7d048190930a15cb2a2d99ea completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.