Triple
T19564550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maki Goto |
E489544
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maki Goto |
—
|
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: Maki Goto | Statement: [Maki Goto, name, Maki Goto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maki Goto Context triple: [Maki Goto, name, Maki Goto]
-
A.
Maki Goto
chosen
Maki Goto is a Japanese pop singer, actress, and former member of the idol group Morning Musume who gained prominence in the early 2000s.
-
B.
Maki Kirioka
Maki Kirioka is a Japanese composer and musician best known for her work on video game soundtracks, particularly within the Metal Gear series.
-
C.
Maki Horikita
Maki Horikita is a Japanese actress known for her leading roles in popular television dramas and films during the 2000s and early 2010s.
-
D.
Jinichi Kusaka
Jinichi Kusaka was a senior Imperial Japanese Navy admiral and air commander in the Pacific Theater during World War II.
-
E.
Miko Mayama
Miko Mayama is a Japanese-American actress best known for her film and television roles in the 1960s and 1970s.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f76b220819096e668534c6bac67 |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.