Triple

T17768717
Position Surface form Disambiguated ID Type / Status
Subject 1Q84 E443575 entity
Predicate mainCharacter P1183 FINISHED
Object Aomame
Aomame is a skilled assassin and fitness instructor who becomes entangled in a surreal alternate reality in Haruki Murakami’s novel "1Q84."
 E1286883 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: Aomame | Statement: [1Q84, mainCharacter, Aomame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aomame
Context triple: [1Q84, mainCharacter, Aomame]
  • 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. Noriko
    Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
  • C. 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.
  • D. Kodama Naoko
    Kodama Naoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
  • E. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • 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: Aomame
Triple: [1Q84, mainCharacter, Aomame]
Generated description
Aomame is a skilled assassin and fitness instructor who becomes entangled in a surreal alternate reality in Haruki Murakami’s novel "1Q84."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aomame
Target entity description: Aomame is a skilled assassin and fitness instructor who becomes entangled in a surreal alternate reality in Haruki Murakami’s novel "1Q84."
  • 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. Noriko
    Noriko is a common Japanese feminine given name, often written with kanji conveying meanings such as "law," "order," or "child."
  • C. 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.
  • D. Kodama Naoko
    Kodama Naoko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
  • E. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fd8aa081909c8ee9264af15c69 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc35a048190886bb5ffb5ab708a completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f096fc648190a1ff19f2704a4cef completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1d0a4708190bbf51356da7e965e completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.