Triple

T17258127
Position Surface form Disambiguated ID Type / Status
Subject Kobayashi Issa E418936 entity
Predicate name P16 FINISHED
Object Kobayashi Issa NE NERFINISHED

How this triple was built (2 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: Kobayashi Issa | Statement: [Kobayashi Issa, name, Kobayashi Issa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobayashi Issa
Context triple: [Kobayashi Issa, name, Kobayashi Issa]
  • A. Kobayashi Issa chosen
    Kobayashi Issa was a prominent Japanese haiku poet of the Edo period, known for his compassionate, often humorous depictions of everyday life and the suffering of common people.
  • B. Yosa Buson
    Yosa Buson was an Edo-period Japanese haiku master and painter renowned for blending Bashō’s poetic tradition with his own richly visual, lyrical style.
  • C. Matsuo Bashō
    Matsuo Bashō was a renowned Japanese poet celebrated as the master of haiku and a central figure in early modern Japanese literature.
  • D. Masaoka Shiki
    Masaoka Shiki was a pioneering Meiji-era Japanese poet and critic who modernized haiku and tanka, helping to transform them into contemporary literary forms.
  • E. Matsuo Munefusa
    Matsuo Munefusa, better known as Matsuo Bashō, was a seminal 17th-century Japanese haiku master whose work profoundly shaped the development of Japanese poetry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e42e6dde4881908e7fc01fd5364616 completed April 19, 2026, 1:22 a.m.
Created at: April 10, 2026, 5:39 a.m.