Triple
T18273852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medill McCormick |
E437681
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McCormick |
—
|
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: McCormick | Statement: [Medill McCormick, familyName, McCormick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCormick Context triple: [Medill McCormick, familyName, McCormick]
-
A.
Kraft
Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
-
B.
McCain Foods
McCain Foods is a Canadian multinational frozen food company best known as one of the world’s largest producers of frozen potato products, including French fries.
-
C.
McCormick Harvesting Machine Company
chosen
McCormick Harvesting Machine Company was a pioneering 19th-century American agricultural machinery manufacturer that revolutionized farming through the mass production and commercialization of mechanical reapers.
-
D.
Oscar Mayer
Oscar Mayer was a German-American entrepreneur best known for founding the Oscar Mayer meat and cold cut company, a major U.S. food brand.
-
E.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5005006108190bbddddbe6bbdc911 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.