Triple

T13510804
Position Surface form Disambiguated ID Type / Status
Subject Charles Koch E321133 entity
Predicate employer P7 FINISHED
Object Koch Industries E85149 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: Koch Industries | Statement: [Charles Koch, employer, Koch Industries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koch Industries
Context triple: [Charles Koch, employer, Koch Industries]
  • A. Koch Industries chosen
    Koch Industries is one of the largest privately held conglomerates in the United States, with diverse operations spanning energy, chemicals, manufacturing, and consumer products.
  • B. Lufkin Industries
    Lufkin Industries is a manufacturing company best known for producing oilfield equipment and industrial machinery, serving as a key employer in Lufkin, Texas.
  • C. Halliburton
    Halliburton is a major American multinational corporation that provides products and services to the oil and gas industry worldwide.
  • D. Kerr-McGee Oil Industries
    Kerr-McGee Oil Industries was a major American energy company involved in oil and gas exploration, production, and chemical manufacturing before its acquisition by Anadarko Petroleum in 2006.
  • E. Cargill
    Cargill is a large American privately held global food and agribusiness company involved in commodities trading, food production, and agricultural services.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75490291c8190b5985d8c90ef1af6 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.