Triple
T7226213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okada |
E154785
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Okada |
E154785
|
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: Okada | Statement: [Okada, transliterationVariant, Okada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okada Context triple: [Okada, transliterationVariant, Okada]
-
A.
Okada
chosen
Okada is a common Japanese surname borne by numerous notable figures in fields such as sports, politics, and entertainment.
-
B.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
C.
Okada Keisuke
Okada Keisuke was a Japanese admiral and politician who served as Prime Minister of Japan in the mid-1930s and survived the attempted coup d'état known as the February 26 Incident.
-
D.
Hirakata
Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
-
E.
Ozaki
Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9de21e081908f30700f6211c5ef |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc17a3788190842a852fb4b96185 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.