Triple

T13709315
Position Surface form Disambiguated ID Type / Status
Subject Can't Buy Me Love E328727 entity
Predicate editedBy P1954 FINISHED
Object Tom Walls E546028 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: Tom Walls | Statement: [Can't Buy Me Love, editedBy, Tom Walls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Walls
Context triple: [Can't Buy Me Love, editedBy, Tom Walls]
  • A. Tom Walls chosen
    Tom Walls is a film editor known for his work on the movie "Remember My Name."
  • B. Tom Walls
    Tom Walls was a British actor, director, and producer best known for his work in early 20th-century stage farces and films.
  • C. Jack Teagarden
    Jack Teagarden was an influential American jazz trombonist and singer renowned for his smooth tone, innovative technique, and collaborations with major jazz bandleaders of the swing era.
  • D. Ray Nance
    Ray Nance was an American jazz trumpeter, violinist, vocalist, and entertainer best known for his long tenure with Duke Ellington’s orchestra, where he contributed iconic solos and versatile performances.
  • E. Bunny Berigan
    Bunny Berigan was an influential American jazz trumpeter and bandleader of the swing era, renowned for his virtuosic playing and classic recording of "I Can't Get Started."
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7945d6b9481909cc627883dd24a85 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.