Triple
T21401663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Maggi |
E527926
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maggi |
—
|
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: Maggi | Statement: [Julius Maggi, familyName, Maggi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggi Context triple: [Julius Maggi, familyName, Maggi]
-
A.
Maggi
chosen
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Dolmio
Dolmio is a popular food brand best known for its Italian-style pasta sauces and ready-made meal products.
-
C.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
-
D.
Kraft
Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
-
E.
Kraft Macaroni & Cheese
Kraft Macaroni & Cheese is a popular boxed macaroni pasta and powdered cheese dinner known for its quick preparation and distinctive creamy, cheesy flavor.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1702b44819080b282c22d151c88 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:18 p.m.