Triple

T19021329
Position Surface form Disambiguated ID Type / Status
Subject The Soft Parade E465493 entity
Predicate hasPart P35 FINISHED
Object Tell All the People 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: Tell All the People | Statement: [The Soft Parade, hasPart, Tell All the People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tell All the People
Context triple: [The Soft Parade, hasPart, Tell All the People]
  • A. The People, Yes
    The People, Yes is a sprawling, populist epic poem by Carl Sandburg that celebrates the resilience, humor, and democratic spirit of ordinary Americans during the early 20th century.
  • B. Calling All the People
    "Calling All the People" is a song by the American alternative rock band 4 Non Blondes, known for their early-1990s blend of rock and socially conscious lyrics.
  • C. To All the People in the World
    To All the People in the World is a song written by renowned American lyricist Hal David, reflecting his signature style of heartfelt, accessible pop songwriting.
  • D. Let Them All Talk
    Let Them All Talk is a 2020 comedy-drama film directed by Steven Soderbergh, starring Meryl Streep as an acclaimed author on an ocean voyage with old friends and her nephew.
  • E. You People
    You People is a 2023 American romantic comedy film that satirically explores cultural clashes and generational tensions within an interracial relationship and their families.
  • 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: Tell All the People
Target entity description: "Tell All the People" is a song by the American rock band The Doors, featured on their 1969 album *The Soft Parade*.
  • A. The People, Yes
    The People, Yes is a sprawling, populist epic poem by Carl Sandburg that celebrates the resilience, humor, and democratic spirit of ordinary Americans during the early 20th century.
  • B. Calling All the People
    "Calling All the People" is a song by the American alternative rock band 4 Non Blondes, known for their early-1990s blend of rock and socially conscious lyrics.
  • C. To All the People in the World
    To All the People in the World is a song written by renowned American lyricist Hal David, reflecting his signature style of heartfelt, accessible pop songwriting.
  • D. Let Them All Talk
    Let Them All Talk is a 2020 comedy-drama film directed by Steven Soderbergh, starring Meryl Streep as an acclaimed author on an ocean voyage with old friends and her nephew.
  • E. You People
    You People is a 2023 American romantic comedy film that satirically explores cultural clashes and generational tensions within an interracial relationship and their families.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6dfa3c88190a057c3385d680cf8 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.