Triple

T22946533
Position Surface form Disambiguated ID Type / Status
Subject Thanks for the Memory E569888 entity
Predicate lyricsBy P1141 FINISHED
Object Leo Robin 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: Leo Robin | Statement: [Thanks for the Memory, lyricsBy, Leo Robin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Robin
Context triple: [Thanks for the Memory, lyricsBy, Leo Robin]
  • A. Leo Robin chosen
    Leo Robin was an American lyricist renowned for his popular songs for film and Broadway, including the Oscar-winning “Thanks for the Memory.”
  • B. Bob Merrill
    Bob Merrill was an American songwriter and lyricist best known for his work on Broadway musicals and popular songs in the mid-20th century.
  • C. Howard Keel
    Howard Keel was an American actor and baritone singer best known for his leading roles in classic MGM musicals of the 1950s and later for his role on the TV series "Dallas."
  • D. Harry Revel
    Harry Revel was a British-born American composer best known for his popular songs and innovative collaborations in mid-20th-century popular music.
  • E. David Purviance
    David Purviance was an early 19th-century American Presbyterian minister and reformer who played a key role in the Stone-Campbell Restoration Movement.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819d2d7881909e6390717ff79df0 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.