Triple

T19128097
Position Surface form Disambiguated ID Type / Status
Subject How to Make an American Quilt E468238 entity
Predicate character P662 FINISHED
Object Sophia
Sophia is a fictional character from the film "How to Make an American Quilt," contributing to the intertwined stories of women whose lives are explored through the making of a communal quilt.
 E1359738 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: [How to Make an American Quilt, character, Sophia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sophia
Context triple: [How to Make an American Quilt, character, Sophia]
  • A. 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.
  • B. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • C. Sophia
    Sophia is the young, unhappily married woman at the center of the historical romance and art-themed drama in "Tulip Fever."
  • D. Sophia
    Sophia is the birth name of American actress Sylvia Sidney, a prominent film and stage performer of the 1930s and later character roles.
  • E. Sophia
    Sophia is the given name of Archduchess Anna Maria Sophia of Austria, a member of the Habsburg royal family.
  • 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: [How to Make an American Quilt, character, Sophia]
Generated description
Sophia is a fictional character from the film "How to Make an American Quilt," contributing to the intertwined stories of women whose lives are explored through the making of a communal quilt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sophia
Target entity description: Sophia is a fictional character from the film "How to Make an American Quilt," contributing to the intertwined stories of women whose lives are explored through the making of a communal quilt.
  • A. Sophia
    Sophia is the young, unhappily married woman at the center of the historical romance and art-themed drama in "Tulip Fever."
  • B. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • C. Sophia
    Sophia is the birth name of American actress Sylvia Sidney, a prominent film and stage performer of the 1930s and later character roles.
  • D. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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

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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3ceb5808190b3b53d9e8df3605a completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67b296c81909818a4c71380fa98 completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e9aaa85c81909bdc81145d415716 completed May 14, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05ea46a9588190846c5a1b8f2bfc12 completed May 14, 2026, 3:29 p.m.
Created at: April 10, 2026, 12:05 p.m.