Triple

T13541910
Position Surface form Disambiguated ID Type / Status
Subject Mama Rose E323407 entity
Predicate sings P12693 FINISHED
Object Some People E323410 NE FINISHED

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: [Mama Rose, sings, Some People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Some People
Context triple: [Mama Rose, sings, 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. 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*.
  • C. 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.
  • D. Too Many People
    "Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.