Triple

T8363290
Position Surface form Disambiguated ID Type / Status
Subject Raymond Davis Jr. E197061 entity
Predicate employer P7 FINISHED
Object DuPont E37316 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: DuPont | Statement: [Raymond Davis Jr., employer, DuPont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DuPont
Context triple: [Raymond Davis Jr., employer, DuPont]
  • A. DuPont chosen
    DuPont is a major American chemical company historically known for pioneering materials science innovations and playing a key role in U.S. industrial and wartime production.
  • B. Rohm and Haas
    Rohm and Haas is a specialty chemicals company known for producing advanced materials and chemical products used in coatings, electronics, and industrial applications.
  • C. Du Pont
    Du Pont is a prominent American industrial and philanthropic family best known for founding the chemical company E.I. du Pont de Nemours and Company.
  • D. Dow Chemical Company
    Dow Chemical Company is a major American multinational chemical corporation known for producing a wide range of industrial, agricultural, and consumer chemical products.
  • E. DowDuPont
    DowDuPont was a large American chemical conglomerate formed by the merger of Dow Chemical and DuPont, later split into three independent companies focused on agriculture, materials science, and specialty products.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80768b208190a5f6c9e6cb6e7f30 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0625cf881909deeb97a753ea7ea completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6 p.m.