Triple

T18351327
Position Surface form Disambiguated ID Type / Status
Subject Sputnik Sweetheart E439672 entity
Predicate hasCharacter P2308 FINISHED
Object Miu
Miu is a mysterious, emotionally distant woman who plays a central role in Haruki Murakami’s novel "Sputnik Sweetheart."
 E1319675 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: Miu | Statement: [Sputnik Sweetheart, hasCharacter, Miu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miu
Context triple: [Sputnik Sweetheart, hasCharacter, Miu]
  • A. Rei Momo
    Rei Momo is David Byrne’s debut solo studio album, known for its vibrant fusion of Latin music styles with art rock sensibilities.
  • B. Mika Miko
    Mika Miko was a Los Angeles-based punk band known for its frenetic live shows and raw, lo-fi sound that drew from hardcore and post-punk influences.
  • C. Miyavi
    Miyavi is a Japanese musician and actor known for his virtuosic guitar “slap” style and his role as Mutsuhiro Watanabe in Angelina Jolie’s film *Unbroken*.
  • D. Mimi Hii
    Mimi Hii is a prominent chemist known for her research in catalysis and sustainable chemistry, holding a prestigious professorship at Imperial College London.
  • E. Mija
    Mija is the brave young girl protagonist of the film "Okja," who risks everything to rescue her genetically engineered super-pig friend from a powerful corporation.
  • 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: Miu
Triple: [Sputnik Sweetheart, hasCharacter, Miu]
Generated description
Miu is a mysterious, emotionally distant woman who plays a central role in Haruki Murakami’s novel "Sputnik Sweetheart."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miu
Target entity description: Miu is a mysterious, emotionally distant woman who plays a central role in Haruki Murakami’s novel "Sputnik Sweetheart."
  • A. Rei Momo
    Rei Momo is David Byrne’s debut solo studio album, known for its vibrant fusion of Latin music styles with art rock sensibilities.
  • B. Mika Miko
    Mika Miko was a Los Angeles-based punk band known for its frenetic live shows and raw, lo-fi sound that drew from hardcore and post-punk influences.
  • C. Miyavi
    Miyavi is a Japanese musician and actor known for his virtuosic guitar “slap” style and his role as Mutsuhiro Watanabe in Angelina Jolie’s film *Unbroken*.
  • D. Mimi Hii
    Mimi Hii is a prominent chemist known for her research in catalysis and sustainable chemistry, holding a prestigious professorship at Imperial College London.
  • E. Mija
    Mija is the brave young girl protagonist of the film "Okja," who risks everything to rescue her genetically engineered super-pig friend from a powerful corporation.
  • 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_69e514f83b648190b473cf611851c666 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc28b80c8190819b989478bb62bd completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03cd1858c481909f78fb1a4c27437c completed May 13, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_6a03ce9e3dd08190b912fe9e9f552053 completed May 13, 2026, 1:06 a.m.
Created at: April 10, 2026, 10:37 a.m.