Triple
T11287658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okamura |
E267239
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Okamura Megumi
Okamura Megumi is a Japanese voice actress known for her work in anime and video games.
|
E935171
|
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 Megumi | Statement: [Okamura, hasNotableBearer, Okamura Megumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okamura Megumi Context triple: [Okamura, hasNotableBearer, Okamura Megumi]
-
A.
Okamura Mayumi
Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
-
B.
Okamura Akemi
Okamura Akemi is a Japanese voice actress and singer best known for voicing Nami in the long-running anime series "One Piece."
-
C.
Okamura Tomoko
Okamura Tomoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
D.
Reki Kawahara
Reki Kawahara is a Japanese light novel author best known for writing the popular series Sword Art Online and Accel World, both of which have received successful anime adaptations.
-
E.
Okamura Yuki
Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
- 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 Megumi Triple: [Okamura, hasNotableBearer, Okamura Megumi]
Generated description
Okamura Megumi is a Japanese voice actress known for her work in anime and video games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okamura Megumi Target entity description: Okamura Megumi is a Japanese voice actress known for her work in anime and video games.
-
A.
Okamura Mayumi
Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
-
B.
Okamura Akemi
Okamura Akemi is a Japanese voice actress and singer best known for voicing Nami in the long-running anime series "One Piece."
-
C.
Okamura Tomoko
Okamura Tomoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
D.
Reki Kawahara
Reki Kawahara is a Japanese light novel author best known for writing the popular series Sword Art Online and Accel World, both of which have received successful anime adaptations.
-
E.
Okamura Yuki
Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
- 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_69e713122ef8819086c8d7e37c00a1c2 |
completed | April 21, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69e720f4015c81909ba7973c3e781985 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e75a7a04c88190bb8f3dd3f3e435ef |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 8, 2026, 9:32 p.m.