Triple
T5374852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Eugene Smith |
E108935
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Minamata
Minamata is a powerful photo-essay and book by W. Eugene Smith documenting the devastating effects of industrial mercury poisoning on a Japanese fishing community.
|
E516325
|
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: Minamata | Statement: [W. Eugene Smith, notableWork, Minamata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minamata Context triple: [W. Eugene Smith, notableWork, Minamata]
-
A.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
-
B.
Sendai
Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
-
C.
Ayabe
Ayabe is a small city in the northern part of Japan’s Kyoto Prefecture, known for its rural landscapes, traditional industries, and spiritual retreat centers.
-
D.
Tanabe
Tanabe is a coastal city in Japan known as a gateway to the Kumano Kodo pilgrimage routes and for its scenic natural landscapes.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- 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: Minamata Triple: [W. Eugene Smith, notableWork, Minamata]
Generated description
Minamata is a powerful photo-essay and book by W. Eugene Smith documenting the devastating effects of industrial mercury poisoning on a Japanese fishing community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minamata Target entity description: Minamata is a powerful photo-essay and book by W. Eugene Smith documenting the devastating effects of industrial mercury poisoning on a Japanese fishing community.
-
A.
Toyokawa
Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
-
B.
Sendai
Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
-
C.
Ayabe
Ayabe is a small city in the northern part of Japan’s Kyoto Prefecture, known for its rural landscapes, traditional industries, and spiritual retreat centers.
-
D.
Tanabe
Tanabe is a coastal city in Japan known as a gateway to the Kumano Kodo pilgrimage routes and for its scenic natural landscapes.
-
E.
Daikanyama
Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86aed2a8819089d9e699f53563db |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293f6458819091c32080782b56ed |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf2a23ba1881909ddc549728bbc2d3 |
completed | March 21, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2e6d5f9081908327dff0058241f0 |
completed | March 21, 2026, 11:49 p.m. |
Created at: March 20, 2026, 2:03 p.m.