Triple

T21464899
Position Surface form Disambiguated ID Type / Status
Subject Chattanooga Choo Choo E529568 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: [Chattanooga Choo Choo, lyricist, Mack Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mack Gordon
Context triple: [Chattanooga Choo Choo, 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f1b3cc819092c200f09c6f461e completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.