Triple

T9934192
Position Surface form Disambiguated ID Type / Status
Subject Sophie Wilmès E192717 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 Wilmès, givenName, Sophie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie
Context triple: [Sophie Wilmès, 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. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b89c808190a2e766025dd53bd5 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ddecfc8190850a098bf4074cc3 completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:44 p.m.