Triple

T10228612
Position Surface form Disambiguated ID Type / Status
Subject Nori E243281 entity
Predicate shortFormOf P43 FINISHED
Object Noriko
Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
 E871137 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: Noriko | Statement: [Nori, shortFormOf, Noriko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noriko
Context triple: [Nori, shortFormOf, Noriko]
  • A. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • B. Nobuko
    Nobuko is a Japanese feminine given name commonly borne by women of noble or imperial background.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • E. Atsuko
    Atsuko is a Japanese feminine given name commonly borne by women and princesses in Japan, with meanings that vary depending on the kanji used.
  • 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: Noriko
Triple: [Nori, shortFormOf, Noriko]
Generated description
Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noriko
Target entity description: Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
  • A. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • B. Nobuko
    Nobuko is a Japanese feminine given name commonly borne by women of noble or imperial background.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • E. Atsuko
    Atsuko is a Japanese feminine given name commonly borne by women and princesses in Japan, with meanings that vary depending on the kanji used.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9333d2e708190b0c8ec679bcb6ade completed April 10, 2026, 5:28 p.m.
NEDg Description generation batch_69d938c697f481908a93296ee7f82eae completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d940176c988190b7583ce9f2c21898 completed April 10, 2026, 6:23 p.m.
Created at: April 6, 2026, 11:18 a.m.