Triple
T17436976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scandal |
E424023
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Minoru Chiaki |
—
|
NE NERFINISHED |
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: Minoru Chiaki | Statement: [Scandal, castMember, Minoru Chiaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minoru Chiaki Context triple: [Scandal, castMember, Minoru Chiaki]
-
A.
Minoru Chiaki
chosen
Minoru Chiaki was a Japanese actor best known for his frequent collaborations with director Akira Kurosawa in classic films such as Seven Samurai.
-
B.
Chiaki Mukai
Chiaki Mukai is a Japanese physician and astronaut who became the first Japanese woman to fly in space and a veteran of two NASA Space Shuttle missions.
-
C.
Chieko Nakakita
Chieko Nakakita was a Japanese actress known for her roles in mid-20th-century Japanese cinema, including collaborations with prominent directors such as Akira Kurosawa.
-
D.
Takako Kawai
Takako Kawai is a Japanese mathematician known for her work in algebraic analysis and microlocal analysis.
-
E.
Takako Kiyota
Takako Kiyota is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Takako.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff468a08190bdc5cebb8162b4ba |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.