Triple
T10683501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post Consumer Brands |
E251814
|
entity |
| Predicate | hasNotableBrand |
P11989
|
FINISHED |
| Object | Golden Crisp |
E878387
|
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: Golden Crisp | Statement: [Post Consumer Brands, hasNotableBrand, Golden Crisp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Crisp Context triple: [Post Consumer Brands, hasNotableBrand, Golden Crisp]
-
A.
Golden Crisp
chosen
Golden Crisp is a sweet, puffed wheat breakfast cereal known for its honey-like flavor and long-time cartoon mascot Sugar Bear.
-
B.
Crispi
Crispi is an Italian surname most notably associated with Francesco Crispi, a prominent 19th-century Italian statesman and former Prime Minister.
-
C.
Le Crunch
Le Crunch is the intense and historic rugby union rivalry between the national teams of France and England.
-
D.
Lickety Split
Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
-
E.
Honey Bun
"Honey Bun" is a song that follows "Without You" in the artist's release chronology, likely serving as a subsequent single or track in their discography.
- 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_69d998c6fb4881908a8e13912c405ec8 |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:10 p.m.