Triple

T19169188
Position Surface form Disambiguated ID Type / Status
Subject Setsuko Matsudaira E469269 entity
Predicate familyName P18 FINISHED
Object Matsudaira 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: Matsudaira | Statement: [Setsuko Matsudaira, familyName, Matsudaira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsudaira
Context triple: [Setsuko Matsudaira, familyName, Matsudaira]
  • A. Matsudaira chosen
    Matsudaira is a prominent Japanese samurai and aristocratic clan historically associated with the Tokugawa shogunate and various feudal domains.
  • B. Matsuura
    Matsuura is a coastal city in southwestern Japan known for its fishing industry and scenic seaside landscapes within Nagasaki Prefecture.
  • C. Shidarezakura
    Shidarezakura is a popular ornamental Japanese cherry tree variety known for its gracefully drooping branches covered in abundant spring blossoms.
  • D. Yoshino
    Yoshino is a historic mountainous area in Japan renowned for its thousands of cherry trees, religious sites, and role as a major center of Shugendō mountain worship.
  • E. Yamazakura
    Yamazakura is a traditional Japanese mountain cherry tree variety celebrated for its delicate blossoms and naturalized presence on slopes such as Mount Yoshino.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f162ac648190a5f60c6a77b68304 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.