Triple
T3792824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeharu Yamanaka |
E89697
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Takeharu Yamanaka |
E89697
|
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: Takeharu Yamanaka | Statement: [Takeharu Yamanaka, name, Takeharu Yamanaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takeharu Yamanaka Context triple: [Takeharu Yamanaka, name, Takeharu Yamanaka]
-
A.
Takeharu Yamanaka
chosen
Takeharu Yamanaka is a Japanese politician serving as the mayor of Yokohama, one of Japan’s largest cities.
-
B.
Masanobu Takayanagi
Masanobu Takayanagi is a Japanese cinematographer known for his work on acclaimed films such as Silver Linings Playbook, Spotlight, and Warrior.
-
C.
Takatoshi Nishiwaki
Takatoshi Nishiwaki is a Japanese politician serving as the governor of Kyoto Prefecture.
-
D.
Yoshikazu Yanagisawa
Yoshikazu Yanagisawa was a Japanese architect best known for designing Osaka’s iconic Osaka Aquarium Kaiyukan.
-
E.
Tomoyuki Yamashita
Tomoyuki Yamashita was a prominent Imperial Japanese Army general during World War II, best known for his rapid conquest of Malaya and Singapore and later defense of the Philippines.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee769d68081908dcdd3d232dbb61c |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb1f7a20819082d2ff104167d98b |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.