Triple

T4763755
Position Surface form Disambiguated ID Type / Status
Subject They Drive by Night E105758 entity
Predicate hasCastMember P2308 FINISHED
Object Roscoe Karns E363410 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: Roscoe Karns | Statement: [They Drive by Night, hasCastMember, Roscoe Karns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roscoe Karns
Context triple: [They Drive by Night, hasCastMember, Roscoe Karns]
  • A. Roscoe Karns chosen
    Roscoe Karns was an American character actor known for his fast-talking, wisecracking roles in classic Hollywood films of the 1930s and 1940s.
  • B. Ricardo Cortez
    Ricardo Cortez was an American actor of the silent and early sound film era, best known for his leading-man roles in crime dramas and early film noir.
  • C. Randolph Scott
    Randolph Scott was a prominent American film actor best known for his roles in Westerns during the 1930s–1950s.
  • D. Joel McCrea
    Joel McCrea was an American film actor best known for his leading roles in classic Hollywood Westerns and comedies from the 1930s through the 1950s.
  • E. Warren William
    Warren William was an American stage and film actor of the 1930s, best known for his suave, often morally ambiguous leading and supporting roles in Hollywood pre-Code dramas and mysteries.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6530f0648190b76db9964471cfeb completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43bad99c8190a170baefea057038 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.