Triple

T6214866
Position Surface form Disambiguated ID Type / Status
Subject John W. Cahn E138960 entity
Predicate employer P7 FINISHED
Object National Institute of Standards and Technology E15790 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: National Institute of Standards and Technology | Statement: [John W. Cahn, employer, National Institute of Standards and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: National Institute of Standards and Technology
Context triple: [John W. Cahn, employer, National Institute of Standards and Technology]
  • A. National Institute of Standards and Technology chosen
    The National Institute of Standards and Technology is a U.S. federal agency that develops and promotes measurement standards, technology, and innovation to enhance economic security and improve quality of life.
  • B. National Science Foundation
    The National Science Foundation is an independent U.S. government agency that funds and promotes fundamental research and education in all non-medical fields of science and engineering.
  • C. Battelle Memorial Institute
    Battelle Memorial Institute is a major nonprofit applied science and technology organization known for managing national laboratories and conducting research and development across defense, energy, health, and environmental domains.
  • D. U.S. Department of Commerce
    The U.S. Department of Commerce is a federal executive department responsible for promoting economic growth, job creation, and sustainable development through policies, data, and support for businesses and innovation.
  • E. Lincoln Laboratory
    Lincoln Laboratory is a federally funded research and development center operated by MIT that focuses on advanced technology for national security and defense.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a0e0488190b71b42386bacf982 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f61ed708190a034136cc270e9d0 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.