Triple
T5607472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggi |
E147267
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Maggi bouillon cubes |
E147267
|
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: Maggi bouillon cubes | Statement: [Maggi, notableProduct, Maggi bouillon cubes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggi bouillon cubes Context triple: [Maggi, notableProduct, Maggi bouillon cubes]
-
A.
Maggi
chosen
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Fry's English Delight
Fry's English Delight is a BBC Radio 4 documentary series in which Stephen Fry explores the quirks, history, and evolving nature of the English language.
-
C.
Heinz Boxes
Heinz Boxes is an artwork by Andy Warhol that, like his Brillo Boxes, consists of painted wooden replicas of commercial Heinz packaging, exploring themes of consumerism and mass production in art.
-
D.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
-
E.
Goldfish crackers
Goldfish crackers are small, fish-shaped baked snack crackers popular for their cheesy flavor and marketed primarily as a kid-friendly snack.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fd1b2c81908da154f7e11b90d8 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a074b7c8190ab70dde6f35f84d6 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:39 p.m.