Triple

T21429880
Position Surface form Disambiguated ID Type / Status
Subject Speak Your Mind E528655 entity
Predicate hasTrack P3284 FINISHED
Object Some People NE NERFINISHED

How this triple was built (2 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: Some People | Statement: [Speak Your Mind, hasTrack, Some People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Some People
Context triple: [Speak Your Mind, hasTrack, Some People]
  • A. Some People chosen
    "Some People" is a popular song from the 1959 Broadway musical Gypsy, known for showcasing the driven, ambitious character of Rose.
  • B. Those People
    Those People is an independent romantic drama film set in New York City that explores friendship, love, and loyalty among a close-knit group of young adults.
  • C. Some People Never Know
    "Some People Never Know" is a melodic, harmony-rich love song by Paul and Linda McCartney from Wings’ 1971 album *Wild Life*.
  • D. Somethin’ for the People
    Somethin’ for the People was an American R&B production and songwriting group known for crafting smooth, melodic tracks for various 1990s artists.
  • E. There Is Such a People
    There Is Such a People is a Bulgarian nationalist political party known for its populist, anti-establishment stance and leadership by entertainer-turned-politician Slavi Trifonov.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.