Triple
T17241109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy McDonald |
E418499
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McDonald |
E163973
|
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: McDonald | Statement: [Tommy McDonald, familyName, McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McDonald Context triple: [Tommy McDonald, familyName, McDonald]
-
A.
McDonald
chosen
McDonald is a common Scottish-origin surname borne by numerous notable individuals across politics, sports, academia, and entertainment.
-
B.
McDonaldland
McDonaldland is a whimsical, fictional world used in McDonald's advertising, populated by Ronald McDonald and a cast of colorful mascot characters.
-
C.
Kroc
Kroc is a surname most famously associated with Ray Kroc, the American businessman who built McDonald's into a global fast-food empire.
-
D.
Mayor McCheese
Mayor McCheese is a McDonaldland character depicted as a cheeseburger-headed mayor who appears in McDonald's advertising alongside Ronald McDonald.
-
E.
Big Mac
Big Mac was the popular nickname for Denver’s McNichols Sports Arena, a former multi-purpose indoor venue that hosted the NBA’s Denver Nuggets, NHL’s Colorado Avalanche, and numerous major events.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e203ec88190a21f38cbb18a14fa |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f1511c8190b70cb37e713a406a |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.