Triple

T18356840
Position Surface form Disambiguated ID Type / Status
Subject Help! (film soundtrack) E439817 entity
Predicate songwriter P1141 FINISHED
Object Larry Williams E872002 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: Larry Williams | Statement: [Help! (film soundtrack), songwriter, Larry Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Williams
Context triple: [Help! (film soundtrack), songwriter, Larry Williams]
  • A. Larry Williams
    Larry Williams was the husband of pioneering African American actress and Academy Award winner Hattie McDaniel.
  • B. Larry Williams chosen
    Larry Williams was an American rhythm and blues and rock and roll singer, songwriter, and pianist best known for 1950s hits like "Bony Moronie" and "Short Fat Fannie."
  • C. Bill Williams
    Bill Williams was an American film and television actor active in the mid-20th century, known for his roles in Westerns and adventure dramas.
  • D. Jim Williams
    Jim Williams is a British composer best known for his atmospheric and unsettling film and television scores, including work on projects like "Possessor" and "Raw."
  • E. Keith Barish
    Keith Barish is an American film producer and financier known for founding Keith Barish Productions and co-founding the Planet Hollywood restaurant chain.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d776cc8190937d7e1d42a36a3b completed April 19, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc30674081908a7e97c02b206413 completed May 13, 2026, 12:56 a.m.
Created at: April 10, 2026, 10:37 a.m.