Triple

T12191123
Position Surface form Disambiguated ID Type / Status
Subject Caroline Sophia Parnell E290463 entity
Predicate middleName P143 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: [Caroline Sophia Parnell, middleName, Sophia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sophia
Context triple: [Caroline Sophia Parnell, middleName, Sophia]
  • A. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • B. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • C. 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.
  • D. Sophia
    Sophia is the young, unhappily married woman at the center of the historical romance and art-themed drama in "Tulip Fever."
  • E. Sophia
    Sophia is the birth name of American actress Sylvia Sidney, a prominent film and stage performer of the 1930s and later character roles.
  • 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: [Caroline Sophia Parnell, middleName, 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 is the birth name of American actress Sylvia Sidney, a prominent film and stage performer of the 1930s and later character roles.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66b2eb48190bae469d1dd82b119 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd7a9aa4819099af0f31c1fb9aab completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5fe58c4908190bb3a3b4fcfacba93 completed May 2, 2026, 1:38 p.m.
Created at: April 8, 2026, 9:50 p.m.