Triple
T7675776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonald’s |
E173856
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Ray Kroc |
E307929
|
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: Ray Kroc | Statement: [McDonald’s, foundedBy, Ray Kroc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Kroc Context triple: [McDonald’s, foundedBy, Ray Kroc]
-
A.
Ray Kroc
chosen
Ray Kroc was an American businessman best known for turning McDonald's into a global fast-food empire through aggressive franchising and standardization.
-
B.
Richard McDonald
Richard McDonald was an American entrepreneur who, with his brother Maurice, created the original McDonald’s restaurant concept that evolved into the global fast-food chain.
-
C.
George Dayton
George Dayton was an American businessman and philanthropist best known as the founder of the retail company that became Target Corporation.
-
D.
Dave Thomas
Dave Thomas is a prominent software developer and author best known as a co-author of "The Pragmatic Programmer" and an original signatory of the Agile Manifesto.
-
E.
Norman Brinker
Norman Brinker was an influential American restaurateur and entrepreneur credited with pioneering the casual dining industry through brands like Chili’s and Steak and Ale.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e333f08190a9ee87080c6d0118 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9af1c081908b0e100390258eaa |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:01 p.m.