Triple

T21656341
Position Surface form Disambiguated ID Type / Status
Subject Princess Sophie of Saxe-Coburg-Saalfeld E534476 entity
Predicate givenName P17 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: [Princess Sophie of Saxe-Coburg-Saalfeld, givenName, Sophie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie
Context triple: [Princess Sophie of Saxe-Coburg-Saalfeld, givenName, Sophie]
  • A. Sophie chosen
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • B. Sophie
    Sophie is a character in Kazuo Ishiguro’s surreal novel "The Unconsoled," involved in the emotionally fraught relationships surrounding the pianist protagonist, Ryder.
  • C. Sophie
    Sophie is an experimental pop producer and musician known for her innovative, hyper-stylized electronic sound and influential work in the PC Music scene.
  • D. Sophie
    Sophie is the brave and curious young girl who befriends the Big Friendly Giant in Roald Dahl's children's novel "The BFG."
  • E. Sophie
    Sophie is the brave and curious orphaned girl who befriends the Big Friendly Giant in the 2016 fantasy film adaptation of Roald Dahl’s "The BFG."
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59185b208190a2cf4b8f54a2c231 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.