Triple
T10683490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post Consumer Brands |
E251814
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Post Foods |
E849449
|
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 Foods | Statement: [Post Consumer Brands, predecessor, Post Foods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Post Foods Context triple: [Post Consumer Brands, predecessor, Post Foods]
-
A.
Post cereals
chosen
Post cereals is a well-known American brand offering a wide variety of ready-to-eat breakfast cereals.
-
B.
Good's Food to Go
Good's Food to Go is a casual quick-service dining location at Disney’s Old Key West Resort offering convenient grab-and-go meals and snacks for guests.
-
C.
Postmates
Postmates is an on-demand delivery service platform that connects users with local couriers to deliver food, groceries, and other goods from nearby merchants.
-
D.
Foodpanda
Foodpanda is an online food and grocery delivery platform operating across multiple countries, connecting customers with restaurants and shops via its app and website.
-
E.
Foodo people
The Foodo people are an ethnic group in West Africa, primarily in Benin, known for their distinct cultural traditions and their use of the Foodo language.
- 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.