Triple

T8941245
Position Surface form Disambiguated ID Type / Status
Subject Mark Whitacre E212904 entity
Predicate employer P7 FINISHED
Object Archer Daniels Midland E366016 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: Archer Daniels Midland | Statement: [Mark Whitacre, employer, Archer Daniels Midland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archer Daniels Midland
Context triple: [Mark Whitacre, employer, Archer Daniels Midland]
  • A. Archer Daniels Midland chosen
    Archer Daniels Midland is a large American multinational food processing and commodities trading corporation.
  • B. Bunge
    Bunge is the unicameral legislative body and main law-making institution of the United Republic of Tanzania.
  • C. Pioneer Hi-Bred Corn Company
    Pioneer Hi-Bred Corn Company is an agricultural seed company renowned for developing and commercializing hybrid corn varieties that revolutionized modern farming.
  • D. Monsanto Company
    Monsanto Company was a major American agrochemical and agricultural biotechnology corporation known for producing controversial products such as Agent Orange and genetically modified seeds.
  • E. Kellogg Company
    Kellogg Company is a major American multinational food manufacturing company best known for its breakfast cereals and convenience foods.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1efdea881908b2c264d1c39c6ec completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.