Triple
T11152387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shogun |
E263817
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Hiroto Kanai
Hiroto Kanai is an actor known for his role in the television series "Shogun."
|
E1239649
|
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: Hiroto Kanai | Statement: [Shogun, stars, Hiroto Kanai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroto Kanai Context triple: [Shogun, stars, Hiroto Kanai]
-
A.
Kazuki Yoshimura
Kazuki Yoshimura is a Japanese individual notable enough to be recognized as a namesake of the surname Yoshimura.
-
B.
Kazuki Yamada
Kazuki Yamada is a Japanese conductor renowned for his dynamic interpretations of orchestral and choral repertoire and leadership of major European ensembles.
-
C.
Tomonori Kanemoto
Tomonori Kanemoto is a former Japanese professional baseball outfielder and manager, best known as an ironman of Nippon Professional Baseball for his consecutive games and innings played streaks.
-
D.
Hayato Shimizu
Hayato Shimizu is a Japanese politician who serves as the mayor of Saitama City.
-
E.
Kenta Hasegawa
Kenta Hasegawa is a former Japanese international footballer and manager best known for his successful coaching career in the J.League, including leading top-flight clubs to domestic titles.
- 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: Hiroto Kanai Triple: [Shogun, stars, Hiroto Kanai]
Generated description
Hiroto Kanai is an actor known for his role in the television series "Shogun."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiroto Kanai Target entity description: Hiroto Kanai is an actor known for his role in the television series "Shogun."
-
A.
Kazuki Yoshimura
Kazuki Yoshimura is a Japanese individual notable enough to be recognized as a namesake of the surname Yoshimura.
-
B.
Kazuki Yamada
Kazuki Yamada is a Japanese conductor renowned for his dynamic interpretations of orchestral and choral repertoire and leadership of major European ensembles.
-
C.
Tomonori Kanemoto
Tomonori Kanemoto is a former Japanese professional baseball outfielder and manager, best known as an ironman of Nippon Professional Baseball for his consecutive games and innings played streaks.
-
D.
Hayato Shimizu
Hayato Shimizu is a Japanese politician who serves as the mayor of Saitama City.
-
E.
Kenta Hasegawa
Kenta Hasegawa is a former Japanese international footballer and manager best known for his successful coaching career in the J.League, including leading top-flight clubs to domestic titles.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c78f36d88190a39f407c5d8dbc0d |
completed | May 10, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a00c92e692c8190baa328f94e979107 |
completed | May 10, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9d1c6a0819083635b8246cc82e7 |
completed | May 10, 2026, 6:09 p.m. |
Created at: April 8, 2026, 9:28 p.m.