Triple
T23538342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Harada |
E577668
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ann Harada |
—
|
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: Ann Harada | Statement: [Ann Harada, name, Ann Harada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Harada Context triple: [Ann Harada, name, Ann Harada]
-
A.
Ann Harada
chosen
Ann Harada is an American actress and singer best known for her comedic and character roles on Broadway and in television, including her work in musical theater and sketch comedy.
-
B.
Ayumi Nakamura
Ayumi Nakamura is a Japanese rock singer and songwriter known for her powerful vocals and energetic performances since the 1980s.
-
C.
Adele Yoshioka
Adele Yoshioka is an actress best known for her role in the 1973 Clint Eastwood crime film "Magnum Force."
-
D.
Okamura Mika
Okamura Mika is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
E.
Seiko Matsuda
Seiko Matsuda is a hugely popular Japanese pop singer and idol, especially famous in the 1980s, known for her numerous hit songs and enduring influence on J-pop culture.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae19473881909aa65f9d36744502 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.