Triple

T13167968
Position Surface form Disambiguated ID Type / Status
Subject Jiyū Minken Undō E312902 entity
Predicate opposedBy P437 FINISHED
Object genrō E328188 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: genrō | Statement: [Jiyū Minken Undō, opposedBy, genrō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: genrō
Context triple: [Jiyū Minken Undō, opposedBy, genrō]
  • A. genrō (elder statesman) chosen
    Genrō (elder statesmen) were an informal group of senior Meiji-era Japanese leaders who wielded decisive behind-the-scenes influence over imperial and governmental affairs.
  • B. Genshō
    Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
  • C. Hara Kei
    Hara Kei was a Japanese politician and statesman who served as Prime Minister of Japan in the early 20th century and was notable as the first commoner to hold the office.
  • D. Genshō-tennō
    Genshō-tennō was an 8th-century Japanese empress who ruled during the Nara period and is notable as one of the few women to ascend the Chrysanthemum Throne.
  • E. Rikugun Daijin
    Rikugun Daijin was the title of the Japanese Army Minister, a key cabinet position overseeing the Imperial Japanese Army before and during World War II.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf92c1881909d387dcf50d8d09f completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:13 p.m.