Triple
T14066860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroshi Hara |
E338497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hiroshi Hara |
E338497
|
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: Hiroshi Hara | Statement: [Hiroshi Hara, name, Hiroshi Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Hara Context triple: [Hiroshi Hara, name, Hiroshi Hara]
-
A.
Hiroshi Hara
chosen
Hiroshi Hara is a prominent Japanese architect known for his innovative, futuristic designs and influential urban projects in Japan and abroad.
-
B.
Ryoichi Hatayama
Ryoichi Hatayama is a Jaeger pilot in the Pacific Rim universe, known for co-piloting the Mark-6 Jaeger Guardian Bravo against kaiju threats.
-
C.
Seiji Kishi
Seiji Kishi is a Japanese anime director best known for his work on series such as Angel Beats!, Assassination Classroom, and adaptations of the Naruto franchise.
-
D.
Hara Takashi
Hara Takashi was a Japanese politician who became the first commoner to serve as Prime Minister of Japan during the early Taishō period.
-
E.
Shō Hashi
Shō Hashi was the first king to unify the Ryukyu Islands, establishing the Ryukyu Kingdom in the early 15th century and founding the First Shō Dynasty.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb227b48190bed1d19b8066b283 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 9, 2026, 10:21 p.m.