Triple

T21417140
Position Surface form Disambiguated ID Type / Status
Subject The Perfect Specimen E528332 entity
Predicate starring P1507 FINISHED
Object Zasu Pitts 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: Zasu Pitts | Statement: [The Perfect Specimen, starring, Zasu Pitts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zasu Pitts
Context triple: [The Perfect Specimen, starring, Zasu Pitts]
  • A. Zasu Pitts chosen
    Zasu Pitts was an American actress best known for her distinctive comedic persona in early Hollywood films and later in radio and television.
  • B. 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.
  • C. Warner Oland
    Warner Oland was a Swedish-American actor best known for portraying the detective Charlie Chan in a popular series of 1930s films.
  • D. William Haines
    William Haines was a 19th-century Australian politician who became the first Premier of the colony of Victoria, helping to establish its early system of responsible government.
  • E. William Haines
    William Haines was a popular American silent film actor of the 1920s who later became a successful interior designer after his Hollywood career declined.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2073a7881909adda8ed70a2cecd completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:46 p.m.