Triple

T2007594
Position Surface form Disambiguated ID Type / Status
Subject Swing Time E43619 entity
Predicate leadCharacter P1668 FINISHED
Object Penelope "Penny" Carroll
Penelope "Penny" Carroll is the charming dance partner and love interest played by Ginger Rogers in the classic 1936 musical film "Swing Time."
 E224410 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: Penelope "Penny" Carroll | Statement: [Swing Time, leadCharacter, Penelope "Penny" Carroll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penelope "Penny" Carroll
Context triple: [Swing Time, leadCharacter, Penelope "Penny" Carroll]
  • A. Penelope Horner
    Penelope Horner was a British actress active in film and television during the mid-20th century, known for her supporting roles in comedies and dramas.
  • B. Samantha Lewes
    Samantha Lewes was an American actress best known as Tom Hanks’s first wife and the mother of actors Colin Hanks and Elizabeth Hanks.
  • C. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • D. Alison
    Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
  • E. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • 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: Penelope "Penny" Carroll
Triple: [Swing Time, leadCharacter, Penelope "Penny" Carroll]
Generated description
Penelope "Penny" Carroll is the charming dance partner and love interest played by Ginger Rogers in the classic 1936 musical film "Swing Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penelope "Penny" Carroll
Target entity description: Penelope "Penny" Carroll is the charming dance partner and love interest played by Ginger Rogers in the classic 1936 musical film "Swing Time."
  • A. Penelope Horner
    Penelope Horner was a British actress active in film and television during the mid-20th century, known for her supporting roles in comedies and dramas.
  • B. Samantha Lewes
    Samantha Lewes was an American actress best known as Tom Hanks’s first wife and the mother of actors Colin Hanks and Elizabeth Hanks.
  • C. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • D. Alison
    Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
  • E. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae12d708190bcfe91e3ab53f04e completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b63b85c819096fc8ad12ace4d22 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0bc55fcc8190bf117ef1328b8a76 completed March 8, 2026, 11:52 p.m.
Created at: March 4, 2026, 7:37 p.m.