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.