Triple

T13109338
Position Surface form Disambiguated ID Type / Status
Subject Flipped E310929 entity
Predicate cinematographer P1953 FINISHED
Object Thomas Del Ruth E523525 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: Thomas Del Ruth | Statement: [Flipped, cinematographer, Thomas Del Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Del Ruth
Context triple: [Flipped, cinematographer, Thomas Del Ruth]
  • A. Thomas Del Ruth chosen
    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."
  • B. Roy Del Ruth
    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.
  • C. John Alton
    John Alton was a renowned American cinematographer celebrated for his innovative, high-contrast lighting and influential work in film noir and classic Hollywood cinema.
  • D. George Aldrich
    George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
  • E. Gregory Ratoff
    Gregory Ratoff was a Russian-born American actor, director, and producer known for his character roles in Hollywood films of the 1930s and 1940s.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817ce07881909ec552bf861ac175 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eadad81c8190881e6577e1c2a207 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:05 p.m.