Triple
T21353414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Araki Sadao |
E526546
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Araki |
—
|
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: Araki | Statement: [Araki Sadao, familyName, Araki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araki Context triple: [Araki Sadao, familyName, Araki]
-
A.
Araki
chosen
Araki is a highly endangered Oceanic language spoken on Araki Island in Vanuatu, known for its small speaker population and distinctive phonological features.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Itagaki
Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
-
D.
Takeaki
Takeaki is a Japanese given name most notably borne by Enomoto Takeaki, a 19th-century samurai, admiral, and statesman.
-
E.
Hiranaka
Hiranaka is a Japanese surname borne by individuals such as former professional boxer Akinobu Hiranaka.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bac9e1481909121e89f046c77f6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:05 p.m.