Triple
T11287634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okamura |
E267239
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Okamura Mayumi
Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
|
E922622
|
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 Mayumi | Statement: [Okamura, hasNotableBearer, Okamura Mayumi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okamura Mayumi Context triple: [Okamura, hasNotableBearer, Okamura Mayumi]
-
A.
Okamura Tomoko
Okamura Tomoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
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.
Koyama Mihoko
Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
-
D.
Kawashima Ayako
Kawashima Ayako is a member of the Japanese Kawashima family, known primarily as the sister of Empress Kiko of Japan.
-
E.
Kaho Shimada
Kaho Shimada is a Japanese actress and singer best known internationally for her acclaimed stage performances in musical theatre, particularly in productions of Les Misérables.
- 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 Mayumi Triple: [Okamura, hasNotableBearer, Okamura Mayumi]
Generated description
Okamura Mayumi 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 Mayumi Target entity description: Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
-
A.
Okamura Tomoko
Okamura Tomoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
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.
Koyama Mihoko
Koyama Mihoko is a Japanese philanthropist and art collector best known as the founder and patron of the Miho Museum in Shiga Prefecture, Japan.
-
D.
Kawashima Ayako
Kawashima Ayako is a member of the Japanese Kawashima family, known primarily as the sister of Empress Kiko of Japan.
-
E.
Kaho Shimada
Kaho Shimada is a Japanese actress and singer best known internationally for her acclaimed stage performances in musical theatre, particularly in productions of Les Misérables.
- 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_69e58b2614308190b9de143e3a80bfc0 |
completed | April 20, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:32 p.m.