Triple

T9385862
Position Surface form Disambiguated ID Type / Status
Subject Paper Girls (TV series) E225901 entity
Predicate leadActor P1507 FINISHED
Object Sofia Rosinsky
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
E798776 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: Sofia Rosinsky | Statement: [Paper Girls (TV series), leadActor, Sofia Rosinsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Rosinsky
Context triple: [Paper Girls (TV series), leadActor, Sofia Rosinsky]
  • A. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • B. Yulia Meltzer
    Yulia Meltzer was a Ukrainian-born Jewish dancer best known as the wife of Yakov Dzhugashvili, Joseph Stalin’s eldest son.
  • C. Alisa Freindlich
    Alisa Freindlich is a renowned Soviet and Russian actress celebrated for her work in film and theater, particularly in the late 20th century.
  • D. Julia Bloch
    Julia Bloch is an American poet, editor, and scholar known for her innovative work in contemporary poetry and literary criticism.
  • E. Natasha Naginsky
    Natasha Naginsky is a recurring character on the television series "Sex and the City," known as the poised and polished woman who briefly marries Mr. Big.
  • 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: Sofia Rosinsky
Triple: [Paper Girls (TV series), leadActor, Sofia Rosinsky]
Generated description
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sofia Rosinsky
Target entity description: Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
  • A. Tatiana Schlossberg
    Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
  • B. Yulia Meltzer
    Yulia Meltzer was a Ukrainian-born Jewish dancer best known as the wife of Yakov Dzhugashvili, Joseph Stalin’s eldest son.
  • C. Alisa Freindlich
    Alisa Freindlich is a renowned Soviet and Russian actress celebrated for her work in film and theater, particularly in the late 20th century.
  • D. Julia Bloch
    Julia Bloch is an American poet, editor, and scholar known for her innovative work in contemporary poetry and literary criticism.
  • E. Natasha Naginsky
    Natasha Naginsky is a recurring character on the television series "Sex and the City," known as the poised and polished woman who briefly marries Mr. Big.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d3964c8190b0353f56df755db8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1101e83e8819093fe8d25c819820b completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d110d745648190a0c3b62cc34932ba completed April 4, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d1112ef0f881909ab2ffdaea160c40 completed April 4, 2026, 1:25 p.m.
Created at: March 30, 2026, 7:44 p.m.