Triple
T10600957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi |
E275744
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hitoshi Fugo
Hitoshi Fugo is a Japanese photographer known for his experimental and conceptual approach to photography.
|
E1099917
|
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: Hitoshi Fugo | Statement: [Hitoshi, hasNotableBearer, Hitoshi Fugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Fugo Context triple: [Hitoshi, hasNotableBearer, Hitoshi Fugo]
-
A.
Hitoshi Ashinano
Hitoshi Ashinano is a Japanese manga artist best known for creating the contemplative, post-apocalyptic slice-of-life series "Yokohama Kaidashi Kikō."
-
B.
Tetsuzo Fuyushiba
Tetsuzo Fuyushiba was a Japanese politician who served as Minister of Land, Infrastructure and Transport and was a prominent member of the New Komeito Party.
-
C.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
-
D.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
E.
Kiyoshi Nobori
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
- 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: Hitoshi Fugo Triple: [Hitoshi, hasNotableBearer, Hitoshi Fugo]
Generated description
Hitoshi Fugo is a Japanese photographer known for his experimental and conceptual approach to photography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Fugo Target entity description: Hitoshi Fugo is a Japanese photographer known for his experimental and conceptual approach to photography.
-
A.
Hitoshi Ashinano
Hitoshi Ashinano is a Japanese manga artist best known for creating the contemplative, post-apocalyptic slice-of-life series "Yokohama Kaidashi Kikō."
-
B.
Tetsuzo Fuyushiba
Tetsuzo Fuyushiba was a Japanese politician who served as Minister of Land, Infrastructure and Transport and was a prominent member of the New Komeito Party.
-
C.
Senichi Hoshino
Senichi Hoshino was a prominent Japanese baseball manager and former pitcher, best known for revitalizing multiple Nippon Professional Baseball teams and leading them to championship success.
-
D.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
E.
Kiyoshi Nobori
Kiyoshi Nobori is an entrepreneur best known as the founder of the sports equipment company Molten.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bab66488190a465e40f1181506e |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d7a5ec48190ab50f6f7c93be24a |
completed | May 8, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e1ca1e081908441508d651ecc63 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 8, 2026, 7:31 p.m.