Triple
T17470253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masaru Ibuka |
E425390
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ibuka |
—
|
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: Ibuka | Statement: [Masaru Ibuka, familyName, Ibuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibuka Context triple: [Masaru Ibuka, familyName, Ibuka]
-
A.
Ibuka
chosen
Ibuka is a Japanese surname most notably associated with Masaru Ibuka, the co-founder of Sony Corporation.
-
B.
Daidō
Daidō was a Japanese era name (nengō) from the early Heian period, used during the reign of Emperor Kanmu.
-
C.
Daidō
Daidō was a Japanese era name (nengō) of the early 9th century, used during the reign of Emperor Saga.
-
D.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
E.
Awazu
Awazu is a scenic locale in the Ōmi (modern Shiga Prefecture) region of Japan, historically celebrated in art and poetry as one of the classic “Eight Views of Ōmi.”
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aad4a08190be7e25841da8e952 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.