Triple
T19287236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishi Amane |
E482345
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Amane |
—
|
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: Amane | Statement: [Nishi Amane, givenName, Amane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amane Context triple: [Nishi Amane, givenName, Amane]
-
A.
Amane
chosen
Amane is a Japanese given name that can be used for people of any gender and appears in both real-life and fictional contexts.
-
B.
Atsuma
Atsuma is a small coastal town in Hokkaido, Japan, known for its rural landscape and proximity to the Pacific Ocean.
-
C.
Anami
Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
-
D.
Ahimeir
Ahimeir is a Hebrew surname most notably associated with Abba Ahimeir, a prominent Zionist activist and journalist in pre-state Israel.
-
E.
Ashima
Ashima is a central character in Jhumpa Lahiri’s novel "The Namesake," representing the experiences of an Indian immigrant mother adapting to life in the United States.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc032f108190a89e47d1458f3f55 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.