Triple

T21243026
Position Surface form Disambiguated ID Type / Status
Subject Thomas Del Ruth E523525 entity
Predicate name P16 FINISHED
Object Thomas Del Ruth NE NERFINISHED

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: [Thomas Del Ruth, name, Thomas Del Ruth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Del Ruth
Context triple: [Thomas Del Ruth, name, 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. George Darrow
    George Darrow is the introspective American diplomat whose emotional entanglements and moral hesitations drive the central drama of Edith Wharton's novel "The Reef."
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7352507448190ba1f14cef16d69be completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:47 p.m.