Triple

T17258158
Position Surface form Disambiguated ID Type / Status
Subject Kobayashi Issa E418936 entity
Predicate spouse P13 FINISHED
Object Kiku
Kiku was the wife of the Japanese haiku poet Kobayashi Issa, known primarily through references in his life and writings.
 E1259482 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: Kiku | Statement: [Kobayashi Issa, spouse, Kiku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiku
Context triple: [Kobayashi Issa, spouse, Kiku]
  • A. Tsubame
    Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
  • B. Tsubame
    Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
  • C. Tsuru
    Tsuru is a small city in Yamanashi Prefecture, Japan, known for its scenic setting near Mount Fuji and its educational institutions.
  • D. Harakeya Kuri
    Harakeya Kuri is a renowned Kannada literary work by Jnanpith award-winning writer and playwright Chandrashekhara Kambara, noted for its rooted portrayal of rural life and social realities.
  • E. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • 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: Kiku
Triple: [Kobayashi Issa, spouse, Kiku]
Generated description
Kiku was the wife of the Japanese haiku poet Kobayashi Issa, known primarily through references in his life and writings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiku
Target entity description: Kiku was the wife of the Japanese haiku poet Kobayashi Issa, known primarily through references in his life and writings.
  • A. Tsubame
    Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
  • B. Tsubame
    Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
  • C. Tsuru
    Tsuru is a small city in Yamanashi Prefecture, Japan, known for its scenic setting near Mount Fuji and its educational institutions.
  • D. Harakeya Kuri
    Harakeya Kuri is a renowned Kannada literary work by Jnanpith award-winning writer and playwright Chandrashekhara Kambara, noted for its rooted portrayal of rural life and social realities.
  • E. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ea7588190a94d222504a8cef5 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017521c90c819099cea67e4084aa67 completed May 11, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a01760409ac8190ac7714e31e686d9a completed May 11, 2026, 6:24 a.m.
Created at: April 10, 2026, 5:39 a.m.