Triple

T13494408
Position Surface form Disambiguated ID Type / Status
Subject Emperor Toba E320721 entity
Predicate eraNameUsed P2938 FINISHED
Object Hōen
Hōen was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Toba.
 E1047014 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: Hōen | Statement: [Emperor Toba, eraNameUsed, Hōen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hōen
Context triple: [Emperor Toba, eraNameUsed, Hōen]
  • A. Hō Shō
    Hō Shō, better known by her pen name Yosano Akiko, was a pioneering Japanese poet, feminist, and social reformer of the early 20th century.
  • B. Hōan
    Hōan was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
  • C. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • D. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • E. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • 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: Hōen
Triple: [Emperor Toba, eraNameUsed, Hōen]
Generated description
Hōen was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Toba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hōen
Target entity description: Hōen was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Toba.
  • A. Hō Shō
    Hō Shō, better known by her pen name Yosano Akiko, was a pioneering Japanese poet, feminist, and social reformer of the early 20th century.
  • B. Hōan
    Hōan was a Japanese era name (nengō) of the early 12th century, used during the reign of Emperor Toba.
  • C. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • D. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • E. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8e69a08190b74f1fecb07dd6e9 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75fabdf1c8190903365197e71402b completed May 3, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69f7601770ac8190a03be23cfe66d5d1 completed May 3, 2026, 2:47 p.m.
Created at: April 9, 2026, 9:43 p.m.