Triple
T10683396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cereal City |
E251812
|
entity |
| Predicate | associatedWithCompany |
P629
|
FINISHED |
| Object | Post Consumer Brands |
E251814
|
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: Post Consumer Brands | Statement: [Cereal City, associatedWithCompany, Post Consumer Brands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Post Consumer Brands Context triple: [Cereal City, associatedWithCompany, Post Consumer Brands]
-
A.
Post Consumer Brands
chosen
Post Consumer Brands is a major American breakfast cereal manufacturer known for brands like Honey Bunches of Oats, Grape-Nuts, and Fruity Pebbles.
-
B.
BrownMark
BrownMark is an American bassist best known for playing in Prince's backing band The Revolution during the 1980s.
-
C.
Inspire Brands
Inspire Brands is a large American multi-brand restaurant company that owns and operates chains such as Arby’s, Buffalo Wild Wings, Sonic Drive-In, and Dunkin’.
-
D.
Coty Inc.
Coty Inc. is a global beauty company known for its extensive portfolio of cosmetics, skincare, and fragrance brands.
-
E.
Unilever
Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc43b9481908f35490db93db76c |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.