Triple

T10971544
Position Surface form Disambiguated ID Type / Status
Subject Max Irons E259246 entity
Predicate spouse P13 FINISHED
Object Sophie Pera
Sophie Pera is a fashion editor and stylist known for her work with major magazines and her marriage to actor Max Irons.
E897512 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 Pera | Statement: [Max Irons, spouse, Sophie Pera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie Pera
Context triple: [Max Irons, spouse, Sophie Pera]
  • A. Sophie Menter
    Sophie Menter was a renowned 19th-century German pianist and composer celebrated for her virtuosic performances and close artistic association with Franz Liszt.
  • B. Sophie Roy
    Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
  • C. Sophie Mau
    Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
  • D. Sophie Straw
    Sophie Straw is the charismatic, working-class young woman who becomes a groundbreaking television comedy star in Nick Hornby’s novel "Funny Girl."
  • E. Sophie Mol
    Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
  • 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 Pera
Triple: [Max Irons, spouse, Sophie Pera]
Generated description
Sophie Pera is a fashion editor and stylist known for her work with major magazines and her marriage to actor Max Irons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sophie Pera
Target entity description: Sophie Pera is a fashion editor and stylist known for her work with major magazines and her marriage to actor Max Irons.
  • A. Sophie Menter
    Sophie Menter was a renowned 19th-century German pianist and composer celebrated for her virtuosic performances and close artistic association with Franz Liszt.
  • B. Sophie Roy
    Sophie Roy is a minor character in the television series "Succession," known as one of Kendall Roy's children in the Roy family dynasty.
  • C. Sophie Mau
    Sophie Mau was the wife of pioneering German psychologist and physiologist Wilhelm Wundt, known primarily through her association with his life and work.
  • D. Sophie Straw
    Sophie Straw is the charismatic, working-class young woman who becomes a groundbreaking television comedy star in Nick Hornby’s novel "Funny Girl."
  • E. Sophie Mol
    Sophie Mol is a pivotal child character in Arundhati Roy’s novel "The God of Small Things," whose tragic fate profoundly shapes the story’s emotional and political landscape.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d790df108190b4a3a6fece372778 completed April 18, 2026, 1 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.