Triple
T3877557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satō |
E92538
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rina Satō
Rina Satō is a Japanese voice actress known for her roles in numerous anime series, video games, and other media.
|
E416024
|
NE FINISHED |
How this triple was built (4 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 Satō | Statement: [Satō, hasNotableBearer, Rina Satō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rina Satō Context triple: [Satō, hasNotableBearer, Rina Satō]
-
A.
Yuki Satō
Yuki Satō is a Japanese name shared by multiple notable individuals, including athletes and entertainers, distinguished in their respective fields.
-
B.
Yoshiko Satō
Yoshiko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
C.
Yui Satō
Yui Satō is a Japanese given name borne by multiple notable individuals, including figures in entertainment and other public fields.
-
D.
Miki Satō
Miki Satō is a Japanese singer-songwriter known for her emotionally expressive vocals and contributions to anime theme songs.
-
E.
Sanae Takaichi
Sanae Takaichi is a Japanese conservative politician of the Liberal Democratic Party who has served in several ministerial posts and is known for her bids for party leadership and advocacy of hawkish security and traditionalist social policies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rina Satō Triple: [Satō, hasNotableBearer, Rina Satō]
Generated description
Rina Satō is a Japanese voice actress known for her roles in numerous anime series, video games, and other media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rina Satō Target entity description: Rina Satō is a Japanese voice actress known for her roles in numerous anime series, video games, and other media.
-
A.
Yuki Satō
Yuki Satō is a Japanese name shared by multiple notable individuals, including athletes and entertainers, distinguished in their respective fields.
-
B.
Yoshiko Satō
Yoshiko Satō is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Satō.
-
C.
Yui Satō
Yui Satō is a Japanese given name borne by multiple notable individuals, including figures in entertainment and other public fields.
-
D.
Miki Satō
Miki Satō is a Japanese singer-songwriter known for her emotionally expressive vocals and contributions to anime theme songs.
-
E.
Sanae Takaichi
Sanae Takaichi is a Japanese conservative politician of the Liberal Democratic Party who has served in several ministerial posts and is known for her bids for party leadership and advocacy of hawkish security and traditionalist social policies.
- F. None of above. chosen
Provenance (5 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec72fa7c81909c73b3cf90597e9a |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576852d0c819083d377bab6799ec7 |
completed | March 14, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69b577ac31888190b6182b00bd5c709f |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57839ee548190804ef306fc9b3a6e |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:20 p.m.