Triple
T22918287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP |
E568789
|
entity |
| Predicate | hasUnderlyingBrandPortfolio |
P99659
|
FINISHED |
| Object | Lay's |
—
|
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: Lay's | Statement: [PEP, hasUnderlyingBrandPortfolio, Lay's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lay's Context triple: [PEP, hasUnderlyingBrandPortfolio, Lay's]
-
A.
Lay's
chosen
Lay's is a globally popular brand of potato chips known for its wide variety of flavors and mass-market snack appeal.
-
B.
Papas Fritas
Papas Fritas is an American indie pop band known for its melodic, lo-fi guitar-driven songs and college radio popularity in the 1990s.
-
C.
Nabisco
Nabisco is a major American snack food company best known for iconic brands like Oreo cookies and Ritz crackers.
-
D.
The Pringles
The Pringles are a snobbish, influential family who serve as key antagonists to Anne Shirley in L.M. Montgomery’s novel "Anne of Windy Poplars."
-
E.
Frito-Lay North America
Frito-Lay North America is a major U.S.-based snack food company best known for producing popular brands of chips and other salty snacks.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.