Triple

T20848617
Position Surface form Disambiguated ID Type / Status
Subject The Real Book E513293 entity
Predicate notableWorkIncludes P93727 FINISHED
Object All Of Me — 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: All Of Me | Statement: [The Real Book, notableWorkIncludes, All Of Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Of Me
Context triple: [The Real Book, notableWorkIncludes, All Of Me]
  • A. All of Me
    "All of Me" is a 2013 piano-driven R&B ballad by John Legend that became one of his signature love songs and a global hit.
  • B. All of Me
    "All of Me" is a studio album by American R&B singer Estelle that showcases her blend of soulful vocals, hip hop influences, and contemporary pop production.
  • C. All of Me
    "All of Me" is a pop song by the American boy band Dream Street, featured on their self-titled debut album released in 2000.
  • D. All of Me chosen
    "All of Me" is a popular jazz standard written in 1931 that has been widely recorded and performed by numerous artists across decades.
  • E. All of Me
    All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3520b0081908ce0f43e8f20b24c completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.