Triple
T855593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Taishō |
E18484
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Yanagihara Naruko
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
|
E133902
|
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: Yanagihara Naruko | Statement: [Emperor Taishō, mother, Yanagihara Naruko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yanagihara Naruko Context triple: [Emperor Taishō, mother, Yanagihara Naruko]
-
A.
Itō Sukeyuki
Itō Sukeyuki was a Japanese admiral who became prominent as a leading naval commander during Japan’s early modern wars and the country’s rise as a maritime power.
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Ueki Emori
Ueki Emori was a prominent Japanese political activist and thinker of the Meiji era, known for his influential advocacy of liberal democracy and civil rights.
-
D.
Nagako Kuni
Nagako Kuni, later known as Empress Kōjun, was the wife of Emperor Shōwa (Hirohito) and the longest-serving empress consort in Japanese history.
-
E.
Naoko Mori
Naoko Mori is a Japanese-born British actress best known for her roles in the TV series "Torchwood" and the musical "Miss Saigon."
- 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: Yanagihara Naruko Triple: [Emperor Taishō, mother, Yanagihara Naruko]
Generated description
Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yanagihara Naruko Target entity description: Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
-
A.
Itō Sukeyuki
Itō Sukeyuki was a Japanese admiral who became prominent as a leading naval commander during Japan’s early modern wars and the country’s rise as a maritime power.
-
B.
Yuriko
Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
-
C.
Ueki Emori
Ueki Emori was a prominent Japanese political activist and thinker of the Meiji era, known for his influential advocacy of liberal democracy and civil rights.
-
D.
Nagako Kuni
Nagako Kuni, later known as Empress Kōjun, was the wife of Emperor Shōwa (Hirohito) and the longest-serving empress consort in Japanese history.
-
E.
Naoko Mori
Naoko Mori is a Japanese-born British actress best known for her roles in the TV series "Torchwood" and the musical "Miss Saigon."
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3c172481908ed164ee1579ec28 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac660a86d881908ae96a5492c9b9a2 |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac67e76c3881908643b5b861826610 |
completed | March 7, 2026, 6:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac684ea69c819098beb37929bdb47a |
completed | March 7, 2026, 6:02 p.m. |
Created at: March 1, 2026, 7:39 p.m.