Triple

T18289880
Position Surface form Disambiguated ID Type / Status
Subject Shirakawa-tennō E438082 entity
Predicate eraName P2938 FINISHED
Object Jōtoku
Jōtoku was a Japanese era (nengō) of the late 11th century, notable as part of the Heian period court chronology.
 E1316712 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: Jōtoku | Statement: [Shirakawa-tennō, eraName, Jōtoku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jōtoku
Context triple: [Shirakawa-tennō, eraName, Jōtoku]
  • A. Daisaku
    Daisaku is a Japanese given name most notably borne by Daisaku Ikeda, the Buddhist philosopher, educator, and longtime president of the Soka Gakkai movement.
  • B. Nishiarai Daishi
    Nishiarai Daishi is a prominent Buddhist temple in Tokyo, Japan, known as a major pilgrimage site dedicated to warding off misfortune and bringing good luck.
  • C. Gyōda
    Gyōda is a city in Saitama Prefecture, Japan, known for its historic Oshi Castle and well-preserved traditional townscape.
  • D. Kotoku Sato
    Kotoku Sato was a Japanese lieutenant general in World War II who led the 31st Division during the Burma Campaign, including the ill-fated offensive toward Kohima in India.
  • E. Sayajirao
    Sayajirao was the personal name of Sayajirao Gaekwad III, the progressive Maharaja of Baroda known for his social and educational reforms in late 19th- and early 20th-century India.
  • 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: Jōtoku
Triple: [Shirakawa-tennō, eraName, Jōtoku]
Generated description
Jōtoku was a Japanese era (nengō) of the late 11th century, notable as part of the Heian period court chronology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jōtoku
Target entity description: Jōtoku was a Japanese era (nengō) of the late 11th century, notable as part of the Heian period court chronology.
  • A. Daisaku
    Daisaku is a Japanese given name most notably borne by Daisaku Ikeda, the Buddhist philosopher, educator, and longtime president of the Soka Gakkai movement.
  • B. Nishiarai Daishi
    Nishiarai Daishi is a prominent Buddhist temple in Tokyo, Japan, known as a major pilgrimage site dedicated to warding off misfortune and bringing good luck.
  • C. Gyōda
    Gyōda is a city in Saitama Prefecture, Japan, known for its historic Oshi Castle and well-preserved traditional townscape.
  • D. Kotoku Sato
    Kotoku Sato was a Japanese lieutenant general in World War II who led the 31st Division during the Burma Campaign, including the ill-fated offensive toward Kohima in India.
  • E. Sayajirao
    Sayajirao was the personal name of Sayajirao Gaekwad III, the progressive Maharaja of Baroda known for his social and educational reforms in late 19th- and early 20th-century India.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500fd65888190afdbb29dc60066af completed April 19, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb5612448190a72548b7dd7c3dc7 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bbfa0da481908bb0e388dcbe9913 completed May 12, 2026, 11:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03bd6078b88190887a32099fc31db0 completed May 12, 2026, 11:53 p.m.
Created at: April 10, 2026, 10:35 a.m.