Triple
T8485697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rina Sawayama |
E200826
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rina |
E329046
|
NE FINISHED |
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: Rina | Statement: [Rina Sawayama, givenName, Rina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rina Context triple: [Rina Sawayama, givenName, Rina]
-
A.
Rina
chosen
Rina is a feminine given name commonly used as a short or diminutive form of longer names such as Caterina.
-
B.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
-
C.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
-
D.
Kyoko
Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
-
E.
Tanaka Reina
Tanaka Reina is a Japanese singer and actress best known as a former member and prominent vocalist of the idol group Morning Musume.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53b359c81908174addcd6e12785 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4df197c48190812c5287119e5528 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:12 p.m.