Triple
T577198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casio |
E13780
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Casiotone |
E13780
|
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: Casiotone | Statement: [Casio, brand, Casiotone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casiotone Context triple: [Casio, brand, Casiotone]
-
A.
Claviere
Claviere is a small alpine village and ski resort in northwestern Italy, known for its mountain scenery and winter sports facilities.
-
B.
Casio
chosen
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
-
C.
Denon Wing
Denon Wing is one of the main wings of the Louvre Museum in Paris, housing many of its most famous artworks, including Leonardo da Vinci’s Mona Lisa.
-
D.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
-
E.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b68cc808190b1ba45bdad78443d |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5089de648819097efdaa016aa33d2 |
completed | March 2, 2026, 3:48 a.m. |
Created at: March 1, 2026, 7:33 p.m.