Triple

T4824276
Position Surface form Disambiguated ID Type / Status
Subject Sophie of Württemberg E107784 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 of Württemberg, givenName, Sophie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie
Context triple: [Sophie of Württemberg, 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 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.
  • C. Sophia
    Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
  • D. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • E. Sophia
    Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cac2bd08190b3f7cfe691fed052 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc6ddcc8190903c0737476bbe36 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.