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.