Triple
T1993654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshihisa Hirano |
E43308
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yoshihisa Hirano |
E43308
|
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: Yoshihisa Hirano | Statement: [Yoshihisa Hirano, name, Yoshihisa Hirano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoshihisa Hirano Context triple: [Yoshihisa Hirano, name, Yoshihisa Hirano]
-
A.
Yoshihisa Hirano
chosen
Yoshihisa Hirano is a Japanese professional baseball pitcher known for his successful career in Nippon Professional Baseball and Major League Baseball, particularly as a late-inning reliever.
-
B.
Hirofumi Hirano
Hirofumi Hirano is a Japanese politician who has held senior leadership roles in major opposition parties and served in the national legislature.
-
C.
Takatoshi Nishiwaki
Takatoshi Nishiwaki is a Japanese politician serving as the governor of Kyoto Prefecture.
-
D.
Nobuyuki Hiyama
Nobuyuki Hiyama is a Japanese voice actor known for his energetic and intense performances in numerous anime, video games, and tokusatsu series.
-
E.
Masanobu Takayanagi
Masanobu Takayanagi is a Japanese cinematographer known for his work on acclaimed films such as Silver Linings Playbook, Spotlight, and Warrior.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5766a918081908953b6b508e4e6e0 |
completed | March 14, 2026, 2:53 p.m. |
Created at: March 4, 2026, 7:37 p.m.