Triple
T11287654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okamura |
E267239
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Okamura Yuki
Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
|
E931592
|
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 Yuki | Statement: [Okamura, hasNotableBearer, Okamura Yuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okamura Yuki Context triple: [Okamura, hasNotableBearer, Okamura Yuki]
-
A.
Okamura Naoko
Okamura Naoko is a Japanese individual notable enough to be specifically distinguished as a 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.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
D.
Okamura Yoko
Okamura Yoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
E.
Okamura Mayumi
Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
- 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 Yuki Triple: [Okamura, hasNotableBearer, Okamura Yuki]
Generated description
Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Okamura Yuki Target entity description: Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
A.
Okamura Naoko
Okamura Naoko is a Japanese individual notable enough to be specifically distinguished as a 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.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
D.
Okamura Yoko
Okamura Yoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura.
-
E.
Okamura Mayumi
Okamura Mayumi is a Japanese voice actress and singer known for her work in anime and related media.
- 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_69e684ba7e0481908235e3e45f8902e6 |
completed | April 20, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69e699599cb88190919e077a757c527c |
completed | April 20, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6a9716b908190add15ed69c8b676a |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:32 p.m.