Triple

T1408489
Position Surface form Disambiguated ID Type / Status
Subject Duracell E31750 entity
Predicate name P16 FINISHED
Object Duracell E31750 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: Duracell | Statement: [Duracell, name, Duracell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duracell
Context triple: [Duracell, name, Duracell]
  • A. Duracell chosen
    Duracell is a leading global brand of batteries and power solutions, best known for its long-lasting alkaline batteries and copper-top design.
  • B. Gillette
    Gillette is a globally recognized American brand best known for its razors and shaving products.
  • C. Kodak
    Kodak is an unincorporated community in Sevier County, Tennessee, known as a growing residential and commercial area near the Great Smoky Mountains and the city of Knoxville.
  • D. Philipse
    Philipse is the surname of a prominent colonial-era merchant and landowning family in what is now New York, notably associated with Frederick Philipse I.
  • E. Kalem Company
    Kalem Company was an early American motion picture studio active in the silent film era, known for its pioneering location shooting and popular serials in the 1900s and 1910s.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace578fe4c8190a4d4ced933fac0b6 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.