Triple
T17523911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagemusha |
E426744
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Kaori Momoi
Kaori Momoi is a renowned Japanese actress and director known for her versatile performances in both domestic cinema and international films.
|
E1274486
|
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: Kaori Momoi | Statement: [Kagemusha, castMember, Kaori Momoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaori Momoi Context triple: [Kagemusha, castMember, Kaori Momoi]
-
A.
Sakari Momoi
Sakari Momoi was a Japanese supercentenarian recognized as one of the world’s oldest living men.
-
B.
Okamura Mika
Okamura Mika is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
C.
Chika Fujiwara
Chika Fujiwara is a bubbly, unpredictable, and musically talented student council member known for her comedic antics in the manga and anime series "Kaguya-sama: Love Is War."
-
D.
Ayumi Nakamura
Ayumi Nakamura is a Japanese rock singer and songwriter known for her powerful vocals and energetic performances since the 1980s.
-
E.
Okamura Rina
Okamura Rina is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, likely in the entertainment or cultural sphere.
- 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: Kaori Momoi Triple: [Kagemusha, castMember, Kaori Momoi]
Generated description
Kaori Momoi is a renowned Japanese actress and director known for her versatile performances in both domestic cinema and international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaori Momoi Target entity description: Kaori Momoi is a renowned Japanese actress and director known for her versatile performances in both domestic cinema and international films.
-
A.
Sakari Momoi
Sakari Momoi was a Japanese supercentenarian recognized as one of the world’s oldest living men.
-
B.
Okamura Mika
Okamura Mika is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
C.
Chika Fujiwara
Chika Fujiwara is a bubbly, unpredictable, and musically talented student council member known for her comedic antics in the manga and anime series "Kaguya-sama: Love Is War."
-
D.
Ayumi Nakamura
Ayumi Nakamura is a Japanese rock singer and songwriter known for her powerful vocals and energetic performances since the 1980s.
-
E.
Okamura Rina
Okamura Rina is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, likely in the entertainment or cultural sphere.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d4db60819096a03dbc4254850f |
completed | April 19, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9452ab08190a0539964b1b90f86 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01cabea2b48190a690b17a88d45b40 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cefa08f8819086cb86ce22193baa |
completed | May 11, 2026, 12:43 p.m. |
Created at: April 10, 2026, 5:49 a.m.