Triple

T4204833
Position Surface form Disambiguated ID Type / Status
Subject Saigyō E86157 entity
Predicate influenced P9 FINISHED
Object Matsuo Bashō E88446 NE FINISHED

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: Matsuo Bashō | Statement: [Saigyō, influenced, Matsuo Bashō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsuo Bashō
Context triple: [Saigyō, influenced, Matsuo Bashō]
  • A. Matsuo Bashō chosen
    Matsuo Bashō was a renowned Japanese poet celebrated as the master of haiku and a central figure in early modern Japanese literature.
  • B. Kobayashi Issa
    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.
  • C. 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.
  • D. Kakinomoto no Hitomaro
    Kakinomoto no Hitomaro was a prominent late 7th–early 8th century Japanese court poet revered as one of the greatest contributors to early Japanese literature and a central figure in the Man'yōshū anthology.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0382eafc8190946bf45bf28095dd completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a84ffb18819081fcd4b258ccfedf completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:49 p.m.