Triple
T5607473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggi |
E147267
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Maggi instant soup |
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 instant soup | Statement: [Maggi, notableProduct, Maggi instant soup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggi instant soup Context triple: [Maggi, notableProduct, Maggi instant soup]
-
A.
Maggi
chosen
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
B.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
-
C.
Swanson Frozen Dinners
Swanson Frozen Dinners are a line of pre-packaged, heat-and-serve frozen meals that helped popularize the TV dinner concept in mid-20th-century America.
-
D.
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.
-
E.
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.
- 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_69c07d9957e481909b57e8d524f4b4f6 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:39 p.m.