Triple
T17859423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael R. Quinlan |
E446026
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | McDonald’s Corporation |
—
|
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: McDonald’s Corporation | Statement: [Michael R. Quinlan, employer, McDonald’s Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McDonald’s Corporation Context triple: [Michael R. Quinlan, employer, McDonald’s Corporation]
-
A.
McDonald’s
chosen
McDonald’s is a global fast-food restaurant chain best known for its hamburgers, fries, and iconic Golden Arches branding.
-
B.
Yum! Brands
Yum! Brands is a major American fast-food corporation that owns and operates global restaurant chains such as KFC, Taco Bell, and Pizza Hut.
-
C.
Wendy's
Wendy's is a major American fast-food restaurant chain best known for its square hamburgers, Frosty desserts, and distinctive redheaded girl logo.
-
D.
Burger King
Burger King is a global fast-food restaurant chain known for flame-grilled burgers such as the Whopper.
-
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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978f34948190a25deb4fd617ad72 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.