Triple
T10140474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanae Takaichi |
E226968
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sanae
Sanae is a Japanese feminine given name borne by various notable figures in politics, entertainment, and other fields.
|
E847018
|
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: Sanae | Statement: [Sanae Takaichi, givenName, Sanae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanae Context triple: [Sanae Takaichi, givenName, Sanae]
-
A.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
B.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
C.
Yuko
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
-
D.
Keiko
Keiko was a famous captive orca best known for starring in the film "Free Willy" and later becoming the focus of a high-profile rehabilitation and release effort.
-
E.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
- 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: Sanae Triple: [Sanae Takaichi, givenName, Sanae]
Generated description
Sanae is a Japanese feminine given name borne by various notable figures in politics, entertainment, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanae Target entity description: Sanae is a Japanese feminine given name borne by various notable figures in politics, entertainment, and other fields.
-
A.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
B.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
C.
Yuko
Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
-
D.
Keiko
Keiko was a famous captive orca best known for starring in the film "Free Willy" and later becoming the focus of a high-profile rehabilitation and release effort.
-
E.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdeb2425008190a92c5148ed703d5c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3175fa0c0819088d372f534f9447e |
completed | April 6, 2026, 2:15 a.m. |
| NEDg | Description generation | batch_69d3183a8410819094e81fe9f43717b2 |
completed | April 6, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d318adfcb081909a3567f5327765ab |
completed | April 6, 2026, 2:21 a.m. |
Created at: March 30, 2026, 9:07 p.m.