Triple

T12104749
Position Surface form Disambiguated ID Type / Status
Subject Like Someone in Love E288273 entity
Predicate lyricist P1360 FINISHED
Object Johnny Burke E288280 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: Johnny Burke | Statement: [Like Someone in Love, lyricist, Johnny Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Burke
Context triple: [Like Someone in Love, lyricist, Johnny Burke]
  • A. Johnny Burke chosen
    Johnny Burke was an American lyricist best known for writing popular standards for film and popular music, often in partnership with composer Jimmy Van Heusen.
  • B. Sonny Burke
    Sonny Burke was an American jazz pianist, arranger, and bandleader best known for his prolific work in big band jazz and popular music from the 1940s through the 1960s.
  • C. Johnny Marks
    Johnny Marks was an American songwriter best known for composing classic Christmas songs, including "Rudolph the Red-Nosed Reindeer."
  • D. George Birge
    George Birge is an American country music singer-songwriter known for his work as both a solo artist and collaborator in the contemporary country scene.
  • E. David Clennon
    David Clennon is an American actor known for his character roles in film and television, including notable appearances in works like "The Thing," "Thirtysomething," and "Once and Again."
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915568b9881909fc9edacefb86409 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655551d8c81909bf0980951f10320 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:48 p.m.