Triple

T20517462
Position Surface form Disambiguated ID Type / Status
Subject Breathe In E503716 entity
Predicate hasCharacter P2308 FINISHED
Object Sophie
Sophie is a central character in the 2013 romantic drama film "Breathe In," which explores themes of desire, family tension, and emotional upheaval.
 E1436010 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: Sophie | Statement: [Breathe In, hasCharacter, Sophie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sophie
Context triple: [Breathe In, hasCharacter, Sophie]
  • A. Sophie
    Sophie is a character in Kazuo Ishiguro’s surreal novel "The Unconsoled," involved in the emotionally fraught relationships surrounding the pianist protagonist, Ryder.
  • B. Sophie
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • C. Sophie
    Sophie is an experimental pop producer and musician known for her innovative, hyper-stylized electronic sound and influential work in the PC Music scene.
  • D. Sophy
    Sophy is a central character in William Styron’s memoir-novel "Darkness Visible," which explores his struggle with clinical depression.
  • E. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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: Sophie
Triple: [Breathe In, hasCharacter, Sophie]
Generated description
Sophie is a central character in the 2013 romantic drama film "Breathe In," which explores themes of desire, family tension, and emotional upheaval.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sophie
Target entity description: Sophie is a central character in the 2013 romantic drama film "Breathe In," which explores themes of desire, family tension, and emotional upheaval.
  • A. Sophie
    Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
  • B. Sophie
    Sophie is a character in Kazuo Ishiguro’s surreal novel "The Unconsoled," involved in the emotionally fraught relationships surrounding the pianist protagonist, Ryder.
  • C. Sophie
    Sophie is an experimental pop producer and musician known for her innovative, hyper-stylized electronic sound and influential work in the PC Music scene.
  • D. Sophy
    Sophy is a central character in William Styron’s memoir-novel "Darkness Visible," which explores his struggle with clinical depression.
  • E. Sophia
    "Sophia" is a lesser-known literary work by British novelist Anthony Hope, best known for his adventure classic "The Prisoner of Zenda."
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d3d55a08190b478b4b8f50ff101 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089e5816308190979cd7ab78a0c0f6 completed May 16, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a089ecd0f988190afc859a511a18f7b completed May 16, 2026, 4:43 p.m.
Created at: April 16, 2026, 11:36 a.m.