Triple

T8245244
Position Surface form Disambiguated ID Type / Status
Subject Teflon E192834 entity
Predicate marketedBy P4613 FINISHED
Object Chemours E721858 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: Chemours | Statement: [Teflon, marketedBy, Chemours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chemours
Context triple: [Teflon, marketedBy, Chemours]
  • A. Chemours chosen
    Chemours is a U.S.-based chemical company known for producing performance chemicals and advanced materials, including the nonstick coating brand Teflon.
  • B. Midland Chemical Company
    Midland Chemical Company was an early American chemical manufacturing firm established in the late 19th century by industrial chemist Herbert Henry Dow, who later founded the Dow Chemical Company.
  • C. Celanese Corporation
    Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
  • 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. DuPont
    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.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7872f6d481909ea1d3c2aad1a2b1 completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd680b0f608190b69336228346b47d completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:48 p.m.