Triple

T7755652
Position Surface form Disambiguated ID Type / Status
Subject Topper Returns E175888 entity
Predicate director P255 FINISHED
Object Roy Del Ruth E407954 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: Roy Del Ruth | Statement: [Topper Returns, director, Roy Del Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Del Ruth
Context triple: [Topper Returns, director, Roy Del Ruth]
  • A. Roy Del Ruth chosen
    Roy Del Ruth was a prolific American film director and producer of the early to mid-20th century, known for his work on musicals, comedies, and crime films during Hollywood’s studio era.
  • B. Thomas Del Ruth
    Thomas Del Ruth is an American cinematographer known for his work on acclaimed films and television series, including the coming-of-age drama "Stand by Me."
  • C. Russell Rouse
    Russell Rouse was an American screenwriter, film director, and producer known for his work in mid-20th-century Hollywood crime dramas and Westerns.
  • D. Ray Dalton
    Ray Dalton is an American singer and songwriter best known for his soulful vocals on Macklemore & Ryan Lewis’s hit single “Can’t Hold Us.”
  • E. Jerry Wald
    Jerry Wald was an American film producer and screenwriter known for his influential work in Hollywood during the 1930s–1950s, including several acclaimed dramas and film noirs.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d9d8fc8190b51faeb081ee425f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c06f54819096162e84180918ba completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:08 p.m.