Triple
T6107539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PepsiCo |
E136151
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Frito-Lay |
E568791
|
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: Frito-Lay | Statement: [PepsiCo, hasSubsidiary, Frito-Lay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frito-Lay Context triple: [PepsiCo, hasSubsidiary, Frito-Lay]
-
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.
Kraft Foods
Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
-
C.
Champion Foods
Champion Foods is a food manufacturing and distribution company owned by Ilitch Holdings, known for producing private-label and branded food products, particularly in the pizza and snack categories.
-
D.
Nabisco
Nabisco is a major American snack food company best known for iconic brands like Oreo cookies and Ritz crackers.
-
E.
PepsiCo
PepsiCo is a multinational food, snack, and beverage corporation best known for producing the Pepsi soft drink and a wide portfolio of global consumer brands.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1415ce66081908c68088911f91854 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:13 p.m.