Triple
T12496363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiichi |
E298695
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kiichi Nakajima
Kiichi Nakajima is a Japanese individual notable enough to be distinctly recognized under the given name Kiichi.
|
E1047800
|
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: Kiichi Nakajima | Statement: [Kiichi, hasNotableBearer, Kiichi Nakajima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiichi Nakajima Context triple: [Kiichi, hasNotableBearer, Kiichi Nakajima]
-
A.
Ken Nakajima
Ken Nakajima was a renowned Japanese landscape architect celebrated for designing traditional-style Japanese gardens around the world.
-
B.
Masamichi Takano
Masamichi Takano is a cinematographer known for his work on the 2011 mixed martial arts drama film "Warrior."
-
C.
Haruo Nakajima
Haruo Nakajima was a Japanese actor and stunt performer best known for originating the role of Godzilla and portraying numerous kaiju in Toho’s classic monster films.
-
D.
Koji Kobayashi
Koji Kobayashi was a prominent Japanese engineer and executive known for his influential leadership at NEC Corporation and his contributions to the fields of computers and communications.
-
E.
Motohiro Ōno
Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
- 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: Kiichi Nakajima Triple: [Kiichi, hasNotableBearer, Kiichi Nakajima]
Generated description
Kiichi Nakajima is a Japanese individual notable enough to be distinctly recognized under the given name Kiichi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiichi Nakajima Target entity description: Kiichi Nakajima is a Japanese individual notable enough to be distinctly recognized under the given name Kiichi.
-
A.
Ken Nakajima
Ken Nakajima was a renowned Japanese landscape architect celebrated for designing traditional-style Japanese gardens around the world.
-
B.
Masamichi Takano
Masamichi Takano is a cinematographer known for his work on the 2011 mixed martial arts drama film "Warrior."
-
C.
Haruo Nakajima
Haruo Nakajima was a Japanese actor and stunt performer best known for originating the role of Godzilla and portraying numerous kaiju in Toho’s classic monster films.
-
D.
Koji Kobayashi
Koji Kobayashi was a prominent Japanese engineer and executive known for his influential leadership at NEC Corporation and his contributions to the fields of computers and communications.
-
E.
Motohiro Ōno
Motohiro Ōno is a Japanese politician who serves as the governor of Saitama Prefecture.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d78433081909ae0278e9e1abacb |
completed | May 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69f75ee662e88190ae8006f056860389 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7629cf90881908a341a565a84aede |
completed | May 3, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:57 p.m.