Triple
T16887384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masaoka Shiki |
E421573
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
Kawahigashi Hekigotō
Kawahigashi Hekigotō was a prominent Japanese haiku poet and critic who helped modernize and develop haiku in the early 20th century.
|
E1238632
|
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: Kawahigashi Hekigotō | Statement: [Masaoka Shiki, influenced, Kawahigashi Hekigotō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawahigashi Hekigotō Context triple: [Masaoka Shiki, influenced, Kawahigashi Hekigotō]
-
A.
Gokenzan
Gokenzan is the mountain in Kagawa Prefecture on which Temple 84, Yashimaji, of the Shikoku Pilgrimage is located.
-
B.
Hotsumisakiji-san
Hotsumisakiji-san is the sacred mountain in Kōchi Prefecture, Japan, on whose slopes the Shikoku Pilgrimage’s 24th temple, Hotsumisakiji, is located.
-
C.
Rinshunkaku
Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
-
D.
Haguro
Haguro was a Myōkō-class heavy cruiser of the Imperial Japanese Navy that saw extensive action in the Pacific during World War II before being sunk in 1945.
-
E.
Heisei-Shinzan
Heisei-Shinzan is a lava dome that formed during the early 1990s eruptions of Mount Unzen in Japan, becoming one of the country's most notable recent volcanic features.
- 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: Kawahigashi Hekigotō Triple: [Masaoka Shiki, influenced, Kawahigashi Hekigotō]
Generated description
Kawahigashi Hekigotō was a prominent Japanese haiku poet and critic who helped modernize and develop haiku in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kawahigashi Hekigotō Target entity description: Kawahigashi Hekigotō was a prominent Japanese haiku poet and critic who helped modernize and develop haiku in the early 20th century.
-
A.
Gokenzan
Gokenzan is the mountain in Kagawa Prefecture on which Temple 84, Yashimaji, of the Shikoku Pilgrimage is located.
-
B.
Hotsumisakiji-san
Hotsumisakiji-san is the sacred mountain in Kōchi Prefecture, Japan, on whose slopes the Shikoku Pilgrimage’s 24th temple, Hotsumisakiji, is located.
-
C.
Rinshunkaku
Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
-
D.
Haguro
Haguro was a Myōkō-class heavy cruiser of the Imperial Japanese Navy that saw extensive action in the Pacific during World War II before being sunk in 1945.
-
E.
Heisei-Shinzan
Heisei-Shinzan is a lava dome that formed during the early 1990s eruptions of Mount Unzen in Japan, becoming one of the country's most notable recent volcanic features.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc1f42481909dcf595358c23497 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2befaa88190ba83dc17aa66b541 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c392b4488190bcfcb40351821f92 |
completed | May 10, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c44e37b48190a62b315ddbbd4ec4 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.