Triple

T8060921
Position Surface form Disambiguated ID Type / Status
Subject Lorenz Hart E188116 entity
Predicate workedOn P3 FINISHED
Object Peggy-Ann
Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
E709328 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: Peggy-Ann | Statement: [Lorenz Hart, workedOn, Peggy-Ann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy-Ann
Context triple: [Lorenz Hart, workedOn, Peggy-Ann]
  • A. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • B. Peggy Preston
    Peggy Preston is a fictional character from the British drama film "The Dig," which explores the 1939 Sutton Hoo archaeological excavation.
  • C. Patty
    Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • D. Peggy Sue Henry
    Peggy Sue Henry is known as the former wife of American businessman and Boston Red Sox principal owner John W. Henry.
  • E. Polly Parrish
    Polly Parrish is the main character in the 1939 romantic comedy film "Bachelor Mother," portrayed as a salesgirl who becomes entangled in comedic misunderstandings after being mistaken for an abandoned baby's mother.
  • 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: Peggy-Ann
Triple: [Lorenz Hart, workedOn, Peggy-Ann]
Generated description
Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peggy-Ann
Target entity description: Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
  • A. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • B. Peggy Preston
    Peggy Preston is a fictional character from the British drama film "The Dig," which explores the 1939 Sutton Hoo archaeological excavation.
  • C. Patty
    Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • D. Peggy Sue Henry
    Peggy Sue Henry is known as the former wife of American businessman and Boston Red Sox principal owner John W. Henry.
  • E. Polly Parrish
    Polly Parrish is the main character in the 1939 romantic comedy film "Bachelor Mother," portrayed as a salesgirl who becomes entangled in comedic misunderstandings after being mistaken for an abandoned baby's mother.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcc61c0819085edc26e75c5f6d5 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63d6484c8190b2fd2c2bef179fc4 completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc6649d2348190996802140b455348 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:26 p.m.