Triple

T20700664
Position Surface form Disambiguated ID Type / Status
Subject Incendiary Blonde E508771 entity
Predicate starring P1507 FINISHED
Object Charlie Ruggles 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: Charlie Ruggles | Statement: [Incendiary Blonde, starring, Charlie Ruggles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Ruggles
Context triple: [Incendiary Blonde, starring, Charlie Ruggles]
  • A. Charles Ruggles chosen
    Charles Ruggles was an American character actor known for his comedic roles in film, radio, and television from the 1920s through the 1960s.
  • B. Warner Baxter
    Warner Baxter was an American film actor best known for his Academy Award–winning performance in the 1928 film "In Old Arizona" and for his roles in early sound-era Hollywood dramas and crime films.
  • C. 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.
  • D. Zasu Pitts
    Zasu Pitts was an American actress best known for her distinctive comedic persona in early Hollywood films and later in radio and television.
  • E. Harry Davenport
    Harry Davenport was an American character actor best known for his numerous supporting roles in classic 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 (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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18a77308190b7c2517d82a145cd completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.