Triple
T21942938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoisanese |
E541865
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Hoisan |
—
|
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: Hoisan | Statement: [Hoisanese, alternativeName, Hoisan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoisan Context triple: [Hoisanese, alternativeName, Hoisan]
-
A.
Hoisan
chosen
Hoisan is an older romanization of Taishan, a county-level city in Guangdong, China, historically known for its large overseas Chinese diaspora.
-
B.
Shichirōji
Shichirōji is a seasoned, loyal samurai and former comrade of Kambei in Akira Kurosawa’s film "Seven Samurai," known for his calm demeanor and steadfast bravery.
-
C.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
-
D.
Hiyoshi
Hiyoshi was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
-
E.
Homare
Homare is a Japanese former professional footballer best known as one of the greatest women’s players of her generation and a FIFA Women’s World Cup winner with Japan.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.