Triple
T13753234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomiichi Murayama |
E330406
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object |
Tsutomu Hata
Tsutomu Hata was a Japanese politician who briefly served as Prime Minister in 1994 during a turbulent period of coalition politics.
|
E1080784
|
NE FINISHED |
How this triple was built (4 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: Tsutomu Hata | Statement: [Tomiichi Murayama, replaced, Tsutomu Hata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsutomu Hata Context triple: [Tomiichi Murayama, replaced, Tsutomu Hata]
-
A.
Takeo Fukuda
Takeo Fukuda was a Japanese Liberal Democratic Party politician who served as Prime Minister of Japan from 1976 to 1978.
-
B.
Toshihiko Kishi
Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
-
C.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
D.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
E.
Takeo Fujisawa
Takeo Fujisawa was a Japanese businessman who played a pivotal role in building Honda into a global automotive and motorcycle powerhouse through his leadership and management expertise.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tsutomu Hata Triple: [Tomiichi Murayama, replaced, Tsutomu Hata]
Generated description
Tsutomu Hata was a Japanese politician who briefly served as Prime Minister in 1994 during a turbulent period of coalition politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsutomu Hata Target entity description: Tsutomu Hata was a Japanese politician who briefly served as Prime Minister in 1994 during a turbulent period of coalition politics.
-
A.
Takeo Fukuda
Takeo Fukuda was a Japanese Liberal Democratic Party politician who served as Prime Minister of Japan from 1976 to 1978.
-
B.
Toshihiko Kishi
Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
-
C.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
D.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
E.
Takeo Fujisawa
Takeo Fujisawa was a Japanese businessman who played a pivotal role in building Honda into a global automotive and motorcycle powerhouse through his leadership and management expertise.
- F. None of above. chosen
Provenance (5 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08a3a1481908400e3e55bf38aac |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd288bd5881908f6a442201c5beea |
completed | May 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3ad7be8819094fc71c9f44fb4cb |
completed | May 7, 2026, 6:02 p.m. |
Created at: April 9, 2026, 10:09 p.m.