Triple
T5858405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Graves |
E130211
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Alessi 9093 kettle |
E321467
|
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: Alessi 9093 kettle | Statement: [Michael Graves, designed, Alessi 9093 kettle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessi 9093 kettle Context triple: [Michael Graves, designed, Alessi 9093 kettle]
-
A.
Alessi
chosen
Alessi is an Italian design company renowned for its innovative, playful, and high-quality household products created in collaboration with prominent designers.
-
B.
Kettle Brand
Kettle Brand is a popular snack food company best known for its kettle-cooked potato chips made with simple, natural ingredients.
-
C.
Tula samovars
Tula samovars are traditional Russian metal tea urns famed for their craftsmanship and long-standing production in the city of Tula.
-
D.
Ebeko
Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
-
E.
Faema
Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358654e48190908e7390a0164726 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c3a69881908ffeee1ddbeb8618 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.