Triple
T16220483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takako |
E393709
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Takako Kawai
Takako Kawai is a Japanese mathematician known for her work in algebraic analysis and microlocal analysis.
|
E1258191
|
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: Takako Kawai | Statement: [Takako, hasNotableBearer, Takako Kawai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takako Kawai Context triple: [Takako, hasNotableBearer, Takako Kawai]
-
A.
Takako Matsu
Takako Matsu is a Japanese actress and pop singer known for her prominent roles in film, television, and theater, as well as her successful music career.
-
B.
Takako Kato
Takako Kato is a Japanese actress and former idol singer known for her work in television dramas and films.
-
C.
Takako Suzuki
Takako Suzuki is a Japanese politician and member of the House of Representatives, known for her work in regional revitalization and as the daughter of former Prime Minister Zenko Suzuki.
-
D.
Takako Yamada
Takako Yamada is a Japanese given name bearer, likely a woman known in Japan under the common female name "Takako."
-
E.
Takako Tokiwa
Takako Tokiwa is a Japanese actress known for her prominent roles in television dramas and films since the 1990s.
- 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: Takako Kawai Triple: [Takako, hasNotableBearer, Takako Kawai]
Generated description
Takako Kawai is a Japanese mathematician known for her work in algebraic analysis and microlocal analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takako Kawai Target entity description: Takako Kawai is a Japanese mathematician known for her work in algebraic analysis and microlocal analysis.
-
A.
Takako Matsu
Takako Matsu is a Japanese actress and pop singer known for her prominent roles in film, television, and theater, as well as her successful music career.
-
B.
Takako Kato
Takako Kato is a Japanese actress and former idol singer known for her work in television dramas and films.
-
C.
Takako Suzuki
Takako Suzuki is a Japanese politician and member of the House of Representatives, known for her work in regional revitalization and as the daughter of former Prime Minister Zenko Suzuki.
-
D.
Takako Yamada
Takako Yamada is a Japanese given name bearer, likely a woman known in Japan under the common female name "Takako."
-
E.
Takako Tokiwa
Takako Tokiwa is a Japanese actress known for her prominent roles in television dramas and films since the 1990s.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fabf708190a624c1ed8ce48b0a |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a016b8609dc8190bfd3e1b6ff715d65 |
completed | May 11, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016c5018e48190974c124c3433bcc6 |
completed | May 11, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:03 a.m.