Triple

T17935860
Position Surface form Disambiguated ID Type / Status
Subject Cutco Corporation E448463 entity
Predicate formerName P65 FINISHED
Object Alcas Corporation NE NERFINISHED

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: Alcas Corporation | Statement: [Cutco Corporation, formerName, Alcas Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcas Corporation
Context triple: [Cutco Corporation, formerName, Alcas Corporation]
  • A. Alcas Corporation chosen
    Alcas Corporation is a cutlery manufacturing company best known as the producer of Cutco knives and related kitchen products.
  • B. Arakwal Corporation
    Arakwal Corporation is an Aboriginal-owned organization representing the interests, land rights, and cultural heritage of the Arakwal people in Australia.
  • C. Ayala Corporation
    Ayala Corporation is one of the Philippines’ largest and oldest conglomerates, with major interests in real estate, banking, telecommunications, and infrastructure.
  • D. Alcolu Company
    Alcolu Company was a prominent lumber and manufacturing firm whose operations and influence led to the naming of the community of Alcolu, South Carolina.
  • E. Alza Corporation
    Alza Corporation was a pioneering pharmaceutical and medical systems company known for developing advanced drug delivery technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a55536e0819083dcfc4be71d447a completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:21 a.m.