Triple

T22251646
Position Surface form Disambiguated ID Type / Status
Subject Söphchen E549993 entity
Predicate isDiminutiveOf P456 FINISHED
Object Sophie 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: Sophie | Statement: [Söphchen, isDiminutiveOf, Sophie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie
Context triple: [Söphchen, isDiminutiveOf, Sophie]
  • A. Sophie
    Sophie is a character in Kazuo Ishiguro’s surreal novel "The Unconsoled," involved in the emotionally fraught relationships surrounding the pianist protagonist, Ryder.
  • B. Sophie
    Sophie is a central character in the 2013 romantic drama film "Breathe In," which explores themes of desire, family tension, and emotional upheaval.
  • C. Sophie
    Sophie is one of the central protagonists in Soman Chainani’s fantasy series "The School for Good and Evil," known for her complex journey between good and evil and her obsession with fairy-tale perfection.
  • D. Sophie chosen
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • E. Sophie
    Sophie is the protagonist of the story "The Future," around whom the narrative’s central events and themes revolve.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138befa208190877760dec1896740 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.