Triple

T3083310
Position Surface form Disambiguated ID Type / Status
Subject Sophie von Haselberg E64308 entity
Predicate givenName P17 FINISHED
Object Sophie E130110 NE FINISHED

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: [Sophie von Haselberg, givenName, Sophie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie
Context triple: [Sophie von Haselberg, givenName, Sophie]
  • A. Sophie chosen
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • B. Sophia
    Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
  • C. Sophia
    Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
  • D. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • E. Sophie Baker
    Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89b650c8190983a00e37a42a794 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.