Triple

T17369622
Position Surface form Disambiguated ID Type / Status
Subject Emperor Antoku E422275 entity
Predicate mother P120 FINISHED
Object Kenreimon-in NE ONDG

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: Kenreimon-in | Statement: [Emperor Antoku, mother, Kenreimon-in]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenreimon-in
Context triple: [Emperor Antoku, mother, Kenreimon-in]
  • A. Kensiu
    Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
  • B. Kunri
    Kunri is a town in Pakistan’s Sindh province known as a major center for red chili production and trade.
  • C. Kiname
    "Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
  • D. Genryaku
    Genryaku was a late 12th-century Japanese era notable for political upheaval and the rise of the Kamakura shogunate.
  • E. Nandaimon
    Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
  • 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: Kenreimon-in
Triple: [Emperor Antoku, mother, Kenreimon-in]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kenreimon-in
Target entity description: Kenreimon-in, also known as Taira no Tokuko, was a late Heian-period Japanese noblewoman and empress consort of Emperor Takakura who became a Buddhist nun after the fall of the Taira clan and is remembered as the tragic mother of Emperor Antoku.
  • A. Kensiu
    Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
  • B. Kunri
    Kunri is a town in Pakistan’s Sindh province known as a major center for red chili production and trade.
  • C. Kiname
    "Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
  • D. Genryaku
    Genryaku was a late 12th-century Japanese era notable for political upheaval and the rise of the Kamakura shogunate.
  • E. Nandaimon
    Nandaimon is the grand southern main gate of Tōdai-ji temple in Nara, Japan, renowned for its monumental wooden structure and guardian statues.
  • F. None of above. chosen

Provenance (4 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.