Triple

T2862305
Position Surface form Disambiguated ID Type / Status
Subject Sophia Chew Nicklin Dallas E63350 entity
Predicate givenName P17 FINISHED
Object Sophia
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
 E306547 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 Chew Nicklin Dallas, givenName, Sophia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sophia
Context triple: [Sophia Chew Nicklin Dallas, 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 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. Sophie
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Cleo
    Cleo is a key supporting character in the musical "The Most Happy Fella," often portrayed as a lively, comedic waitress and confidante.
  • 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 Chew Nicklin Dallas, givenName, Sophia]
Generated description
Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sophia
Target entity description: Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • A. 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.
  • B. Sophia
    Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
  • C. Sophie
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Cleo
    Cleo is a key supporting character in the musical "The Most Happy Fella," often portrayed as a lively, comedic waitress and confidante.
  • F. None of above. chosen

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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8df8288190816767169ea7cbf9 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da030a88190b9e23a461695176f completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b02259b4088190aca33f3b80cb4056 completed March 10, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69b02656f8488190ab0d715d1634b6a7 completed March 10, 2026, 2:10 p.m.
Created at: March 6, 2026, 10:02 p.m.