Triple
T19564572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maki Goto |
E489544
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Hello! Project |
—
|
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: Hello! Project | Statement: [Maki Goto, affiliation, Hello! Project]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hello! Project Context triple: [Maki Goto, affiliation, Hello! Project]
-
A.
Hello! Project
chosen
Hello! Project is a Japanese idol entertainment collective and talent umbrella best known for producing and managing groups like Morning Musume and other female pop acts.
-
B.
AKB48
AKB48 is a massively popular Japanese idol girl group known for its large rotating roster of members, theater-based performances, and close fan interaction.
-
C.
Arashi
Arashi is a popular Japanese boy band formed under Johnny & Associates, known for their chart-topping J-pop hits, television appearances, and widespread influence in Japanese entertainment.
-
D.
Arashi
Arashi was an Imperial Japanese Navy destroyer that served in World War II, notably participating in several Pacific naval engagements before being sunk in 1943.
-
E.
Bushiroad
Bushiroad is a Japanese entertainment company best known for producing trading card games, anime, and owning various media and sports properties.
- 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.