Triple
T15399397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeshita faction |
E368269
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Tsutomu Hata |
E1080784
|
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: Tsutomu Hata | Statement: [Takeshita faction, hasNotableMember, Tsutomu Hata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsutomu Hata Context triple: [Takeshita faction, hasNotableMember, Tsutomu Hata]
-
A.
Tsutomu Hata
chosen
Tsutomu Hata was a Japanese politician who briefly served as Prime Minister in 1994 during a turbulent period of coalition politics.
-
B.
Takeo Fukuda
Takeo Fukuda was a Japanese Liberal Democratic Party politician who served as Prime Minister of Japan from 1976 to 1978.
-
C.
Toshihiko Kishi
Toshihiko Kishi is a Japanese musician and composer known for his work on video game and anime soundtracks.
-
D.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
E.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2754648190bfd0bd15f20b40d2 |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 3:19 a.m.