Triple

T10003263
Position Surface form Disambiguated ID Type / Status
Subject UTC Climate, Controls & Security E198177 entity
Predicate brandOwned P6092 FINISHED
Object Kidde E198191 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: Kidde | Statement: [UTC Climate, Controls & Security, brandOwned, Kidde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kidde
Context triple: [UTC Climate, Controls & Security, brandOwned, Kidde]
  • A. Kidde chosen
    Kidde is a well-known manufacturer of fire safety products such as smoke alarms, fire extinguishers, and carbon monoxide detectors.
  • B. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Hager
    Hager is the surname of Jenna Bush Hager, an American television personality, author, and daughter of former U.S. President George W. Bush.
  • D. Matheson
    Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
  • E. Micronite
    Micronite is a brand of cigarette filter historically associated with Kent cigarettes, known for its controversial use of asbestos in early filter designs.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd12f6488190bd5257b5f65437cc completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a41e25881908c7d1e15daeffc44 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.