Triple
T23183556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyo Obata |
E579524
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Obata |
—
|
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: Obata | Statement: [Gyo Obata, familyName, Obata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obata Context triple: [Gyo Obata, familyName, Obata]
-
A.
Obata
chosen
Obata is a Japanese surname borne by various notable individuals across fields such as architecture, art, and sports.
-
B.
Itagaki
Itagaki is a Japanese surname associated with several notable historical and contemporary figures in Japan.
-
C.
Yamashita
Yamashita is a Japanese surname most famously associated with General Tomoyuki Yamashita, a prominent Imperial Japanese Army commander during World War II.
-
D.
Horikita
Horikita is a Japanese surname most notably associated with actress Maki Horikita, known for her roles in popular television dramas and films.
-
E.
Nakaumi
Nakaumi is a brackish lake in western Japan, situated between Tottori and Shimane Prefectures and known for its rich ecosystems and scenic coastal landscapes.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f717d248190b2736b0789981fb2 |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:05 p.m.