Triple
T11287646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okamura |
E267239
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Okamura Rika
Okamura Rika is a Japanese voice actress and singer known for her work in anime and related media.
|
E926900
|
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: Okamura Rika | Statement: [Okamura, hasNotableBearer, Okamura Rika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okamura Rika Context triple: [Okamura, hasNotableBearer, Okamura Rika]
-
A.
Okamura Aya
Okamura Aya is a Japanese individual known primarily as a notable bearer of the surname Okamura.
-
B.
Nomura Rika
Nomura Rika is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura.
-
C.
Tanaka Rie
Tanaka Rie is a Japanese voice actress and singer known for her prominent roles in anime series such as "Love Hina," "Toradora!," and "Fate/stay night."
-
D.
Miyazawa Rie
Miyazawa Rie is a Japanese actress and former fashion model known for her acclaimed film roles and high-profile presence in Japanese entertainment since the late 1980s.
-
E.
Yukari Nakano
Yukari Nakano is a Japanese former competitive figure skater known for her powerful jumps and international Grand Prix success in the mid-2000s.
- 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: Okamura Rika Triple: [Okamura, hasNotableBearer, Okamura Rika]
Generated description
Okamura Rika is a Japanese voice actress and singer known for her work in anime and related media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okamura Rika Target entity description: Okamura Rika is a Japanese voice actress and singer known for her work in anime and related media.
-
A.
Okamura Aya
Okamura Aya is a Japanese individual known primarily as a notable bearer of the surname Okamura.
-
B.
Nomura Rika
Nomura Rika is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Nomura.
-
C.
Tanaka Rie
Tanaka Rie is a Japanese voice actress and singer known for her prominent roles in anime series such as "Love Hina," "Toradora!," and "Fate/stay night."
-
D.
Miyazawa Rie
Miyazawa Rie is a Japanese actress and former fashion model known for her acclaimed film roles and high-profile presence in Japanese entertainment since the late 1980s.
-
E.
Yukari Nakano
Yukari Nakano is a Japanese former competitive figure skater known for her powerful jumps and international Grand Prix success in the mid-2000s.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8a4322c8190a30e460892123579 |
completed | April 20, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:32 p.m.