Triple
T22915341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casio World Open |
E568720
|
entity |
| Predicate | titleSponsor |
P24881
|
FINISHED |
| Object | Casio |
—
|
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: Casio | Statement: [Casio World Open, titleSponsor, Casio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casio Context triple: [Casio World Open, titleSponsor, Casio]
-
A.
Casio
chosen
Casio is a Japanese electronics company best known for its durable digital watches, calculators, and consumer electronics.
-
B.
Kasio
Kasio is the main character of the indie narrative game "If Found...", a young woman navigating memory, identity, and self-discovery in a surreal, diary-like story.
-
C.
Seiko
Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
-
D.
Mido
Mido is a spelling variant of the name Medo, often used as a given name or nickname in various cultures.
-
E.
Seiko Group
Seiko Group is a Japanese corporate group best known for its Seiko brand of watches, clocks, and precision instruments.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18079217481908db98882929ac69a |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.