Triple

T18360521
Position Surface form Disambiguated ID Type / Status
Subject Emperor Go-Sanjō E439900 entity
Predicate eraNameUsed P2938 FINISHED
Object Jiryaku
Jiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Sanjō.
E1324266 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: Jiryaku | Statement: [Emperor Go-Sanjō, eraNameUsed, Jiryaku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiryaku
Context triple: [Emperor Go-Sanjō, eraNameUsed, Jiryaku]
  • A. Jōryaku
    Jōryaku was a Japanese era of the late 11th century, notable as part of the Heian period’s imperial calendar system.
  • B. Kuranosuke
    Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
  • C. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • D. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • E. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • 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: Jiryaku
Triple: [Emperor Go-Sanjō, eraNameUsed, Jiryaku]
Generated description
Jiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Sanjō.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jiryaku
Target entity description: Jiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Sanjō.
  • A. Jōryaku
    Jōryaku was a Japanese era of the late 11th century, notable as part of the Heian period’s imperial calendar system.
  • B. Kuranosuke
    Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
  • C. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • D. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • E. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516db045c8190b20c209225a53b9a completed April 19, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f09a7b288190a2c7dd6f0ada3fea completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f200c7148190a57f7896ff22b958 completed May 13, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a03f341ce908190b1cb1ba350814107 completed May 13, 2026, 3:42 a.m.
Created at: April 10, 2026, 10:37 a.m.