Triple

T11897769
Position Surface form Disambiguated ID Type / Status
Subject Wednesday Morning, 3 A.M. E283077 entity
Predicate hasPart P35 FINISHED
Object Peggy-O
"Peggy-O" is a traditional folk ballad, widely known through renditions by artists like Simon & Garfunkel and the Grateful Dead, that tells a tragic love story involving a soldier and a woman named Peggy.
 E952412 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-O | Statement: [Wednesday Morning, 3 A.M., hasPart, Peggy-O]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peggy-O
Context triple: [Wednesday Morning, 3 A.M., hasPart, Peggy-O]
  • A. Peg
    Peg is a common diminutive or nickname for the female given name Margaret.
  • B. Peg
    "Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
  • C. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • D. Peggy-Ann
    Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
  • E. Liddy
    Liddy is a surname most notably associated with G. Gordon Liddy, the former FBI agent and key figure in the Watergate scandal.
  • 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-O
Triple: [Wednesday Morning, 3 A.M., hasPart, Peggy-O]
Generated description
"Peggy-O" is a traditional folk ballad, widely known through renditions by artists like Simon & Garfunkel and the Grateful Dead, that tells a tragic love story involving a soldier and a woman named Peggy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peggy-O
Target entity description: "Peggy-O" is a traditional folk ballad, widely known through renditions by artists like Simon & Garfunkel and the Grateful Dead, that tells a tragic love story involving a soldier and a woman named Peggy.
  • A. Peg
    Peg is a common diminutive or nickname for the female given name Margaret.
  • B. Peg
    "Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
  • C. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • D. Peggy-Ann
    Peggy-Ann is a 1926 Broadway musical comedy with lyrics by Lorenz Hart and music by Richard Rodgers.
  • E. Liddy
    Liddy is a surname most notably associated with G. Gordon Liddy, the former FBI agent and key figure in the Watergate scandal.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418205b788190a4b1b81d89cf7fff completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1c21388190b6ecb0fd602abb7d completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42283c4cc81909793834ef65d2514 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.