Triple

T21065513
Position Surface form Disambiguated ID Type / Status
Subject You Make Me Feel So Young E518957 entity
Predicate lyricist P1360 FINISHED
Object Mack Gordon 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: Mack Gordon | Statement: [You Make Me Feel So Young, lyricist, Mack Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mack Gordon
Context triple: [You Make Me Feel So Young, lyricist, Mack Gordon]
  • A. Mack Gordon chosen
    Mack Gordon was an American lyricist and songwriter renowned for crafting numerous popular standards for film and stage during the 1930s and 1940s.
  • B. Gordon Beck
    Gordon Beck was an influential English jazz pianist and composer known for his sophisticated harmonic approach and collaborations with leading fusion and modern jazz musicians.
  • C. David Raksin
    David Raksin was an American film composer best known for his influential scores in classic Hollywood cinema, including the iconic music for the film "Laura."
  • D. Jerry Bock
    Jerry Bock was an American musical theatre composer best known for his Tony Award-winning score for the landmark Broadway musical "Fiddler on the Roof."
  • E. Harold Rome
    Harold Rome was an American composer and lyricist best known for his work on Broadway musicals and film scores in the mid-20th century.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb3799c8190bebabb087b917321 completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:44 p.m.