Triple
T10003855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kidde |
E198191
|
entity |
| Predicate | hasBusinessUnit |
P7588
|
FINISHED |
| Object | Kidde Safety |
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 Safety | Statement: [Kidde, hasBusinessUnit, Kidde Safety]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidde Safety Context triple: [Kidde, hasBusinessUnit, Kidde Safety]
-
A.
Kidde
chosen
Kidde is a well-known manufacturer of fire safety products such as smoke alarms, fire extinguishers, and carbon monoxide detectors.
-
B.
Tyco International
Tyco International was a multinational conglomerate known for its security systems, fire protection, and industrial products before being acquired by Johnson Controls.
-
C.
Guardian Industries
Guardian Industries is a major global manufacturer of glass, automotive, and building products, known for its architectural and float glass operations.
-
D.
Whelen Engineering
Whelen Engineering is an American company that designs and manufactures emergency warning lights, sirens, and related safety systems for police, fire, EMS, and other public safety and automotive applications.
-
E.
Honeywell
Honeywell is a multinational conglomerate best known for its aerospace systems, building technologies, performance materials, and industrial automation 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd141ec08190b857fe7e15a8df93 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5f15c6c8190b52924d6f86d63e0 |
completed | April 5, 2026, 7:20 p.m. |
Created at: March 30, 2026, 8:51 p.m.