Triple

T18351330
Position Surface form Disambiguated ID Type / Status
Subject Sputnik Sweetheart E439672 entity
Predicate protagonist P268 FINISHED
Object Sumire NE NERFINISHED

How this triple was built (2 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: Sumire | Statement: [Sputnik Sweetheart, protagonist, Sumire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumire
Context triple: [Sputnik Sweetheart, protagonist, Sumire]
  • A. Sumire chosen
    Sumire is a young, introspective aspiring writer and central character in Haruki Murakami’s novel "Sputnik Sweetheart," whose unrequited love and mysterious disappearance drive the story’s exploration of loneliness and identity.
  • B. Sumire
    Sumire is the daughter of Japanese actor and musician Tadanobu Asano.
  • C. Kumatori
    Kumatori is a town in Osaka Prefecture, Japan, known as a suburban residential area within the Kansai region.
  • D. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • E. Shizu
    Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 10:37 a.m.