Triple
T19398244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PetSmart |
E485247
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Chewy |
—
|
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: Chewy | Statement: [PetSmart, hasSubsidiary, Chewy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chewy Context triple: [PetSmart, hasSubsidiary, Chewy]
-
A.
Chewy
chosen
Chewy is a U.S.-based online retailer specializing in pet food and pet-related products, known for its fast shipping and customer-focused service.
-
B.
The Chew
The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
-
C.
Chew Chew
Chew Chew is a co-mascot character associated with the Chompers brand, likely designed to promote fun and engaging dental health habits for children.
-
D.
Chew
Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
-
E.
Chew
Chew is a darkly comedic crime comic series centered on a detective who gains psychic impressions from what he eats, blending noir, satire, and the supernatural.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.