Triple
T1478182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanae Takaichi |
E30890
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Takaichi
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
|
E226968
|
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: Takaichi | Statement: [Sanae Takaichi, familyName, Takaichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takaichi Context triple: [Sanae Takaichi, familyName, Takaichi]
-
A.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
B.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
C.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
-
D.
Seiji
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
-
E.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
- 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: Takaichi Triple: [Sanae Takaichi, familyName, Takaichi]
Generated description
Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takaichi Target entity description: Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
-
A.
Seikichi
Seikichi is a Japanese given name commonly used for males.
-
B.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
C.
Kenkichi
Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
-
D.
Seiji
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
-
E.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c605d4c0819088ab06678b2ba6f3 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aa631788190836e00b3cce934ef |
completed | March 8, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69ae0e9310288190af35a7accfa609e3 |
completed | March 9, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0eeb73088190b1ab31f7fcdc4f9d |
completed | March 9, 2026, 12:06 a.m. |
Created at: March 1, 2026, 8:11 p.m.