Triple

T8189947
Position Surface form Disambiguated ID Type / Status
Subject Sophia Di Martino E191277 entity
Predicate givenName P17 FINISHED
Object Sophia
Sophia is a feminine given name of Greek origin meaning “wisdom,” widely used across many cultures and languages.
E390085 NE FINISHED

How this triple was built (4 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: Sophia | Statement: [Sophia Di Martino, givenName, Sophia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia
Context triple: [Sophia Di Martino, givenName, Sophia]
  • A. Sophia
    Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
  • B. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • C. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • D. 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.
  • E. Sophia
    Sophia was a prominent Byzantine empress of the Justinian dynasty, known for her political influence and role in imperial court affairs during the 6th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sophia
Triple: [Sophia Di Martino, givenName, Sophia]
Generated description
Sophia is a feminine given name of Greek origin meaning “wisdom,” widely used across many cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sophia
Target entity description: Sophia is a feminine given name of Greek origin meaning “wisdom,” widely used across many cultures and languages.
  • A. Sophia chosen
    Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
  • 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 is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • D. Sophia
    Sophia is the given name of Queen Sofía of Spain, the former queen consort known for her long-standing role in the Spanish royal family and public life.
  • E. Sophia
    Sophia was a prominent Byzantine empress of the Justinian dynasty, known for her political influence and role in imperial court affairs during the 6th century.
  • F. None of above.

Provenance (5 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da0e1288190b9c7c1d3b9a98830 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced8da28c81909c34c0103da68f0f completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:41 p.m.