Triple
T18190925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Fudge |
E435529
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | General Foods |
—
|
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: General Foods | Statement: [Ann Fudge, employer, General Foods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Foods Context triple: [Ann Fudge, employer, General Foods]
-
A.
General Foods
chosen
General Foods was a major American processed food company known for popular consumer brands and extensive radio and television sponsorships in the mid-20th century.
-
B.
General Mills
General Mills is a major American multinational food company known for producing popular brands of cereals, snacks, and packaged foods.
-
C.
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.
-
D.
Kraft
Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
-
E.
Kraft Heinz
Kraft Heinz is a major American multinational food and beverage company known for its wide portfolio of iconic packaged brands.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0cf0d7c81908ce0386c52ef601d |
completed | April 19, 2026, 2:03 p.m. |
Created at: April 10, 2026, 10:31 a.m.