Triple

T22206142
Position Surface form Disambiguated ID Type / Status
Subject Nancy & Lee E548810 entity
Predicate hasTrack P3284 FINISHED
Object Greenwich Village Folk Song Salesman NE NERFINISHED

How this triple was built (3 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: Greenwich Village Folk Song Salesman | Statement: [Nancy & Lee, hasTrack, Greenwich Village Folk Song Salesman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenwich Village Folk Song Salesman
Context triple: [Nancy & Lee, hasTrack, Greenwich Village Folk Song Salesman]
  • A. Next Stop, Greenwich Village
    Next Stop, Greenwich Village is a 1976 semi-autobiographical comedy-drama film written and directed by Paul Mazursky about a young aspiring actor navigating life and love in New York’s bohemian Greenwich Village of the 1950s.
  • B. The Streets of New York
    "The Streets of New York" is a song by Irish musician Brian Warfield, best known as a ballad vividly depicting life and experiences in New York City.
  • C. Manhattan (song)
    "Manhattan" is a popular 1925 show tune with music by Richard Rodgers and lyrics by Lorenz Hart, celebrated for its witty, romantic depiction of New York City.
  • D. Oldtown Folks
    Oldtown Folks is a 19th-century novel by Harriet Beecher Stowe that portrays life, religion, and community in a small New England village.
  • E. Street Song
    "Street Song" is a contemporary musical composition by conductor and composer Michael Tilson Thomas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Greenwich Village Folk Song Salesman
Target entity description: "Greenwich Village Folk Song Salesman" is a quirky, narrative-driven song by Nancy Sinatra and Lee Hazlewood that satirizes the 1960s folk music scene and its commercialism.
  • A. Next Stop, Greenwich Village
    Next Stop, Greenwich Village is a 1976 semi-autobiographical comedy-drama film written and directed by Paul Mazursky about a young aspiring actor navigating life and love in New York’s bohemian Greenwich Village of the 1950s.
  • B. The Streets of New York
    "The Streets of New York" is a song by Irish musician Brian Warfield, best known as a ballad vividly depicting life and experiences in New York City.
  • C. Manhattan (song)
    "Manhattan" is a popular 1925 show tune with music by Richard Rodgers and lyrics by Lorenz Hart, celebrated for its witty, romantic depiction of New York City.
  • D. Oldtown Folks
    Oldtown Folks is a 19th-century novel by Harriet Beecher Stowe that portrays life, religion, and community in a small New England village.
  • E. Street Song
    "Street Song" is a contemporary musical composition by conductor and composer Michael Tilson Thomas.
  • F. None of above. chosen

Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2868d88190af313b862fe9d8f2 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.