Triple

T20396872
Position Surface form Disambiguated ID Type / Status
Subject Murders in the Rue Morgue (1932 film) E500228 entity
Predicate screenwriter P2831 FINISHED
Object Robert Florey 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: Robert Florey | Statement: [Murders in the Rue Morgue (1932 film), screenwriter, Robert Florey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Florey
Context triple: [Murders in the Rue Morgue (1932 film), screenwriter, Robert Florey]
  • A. Robert Florey chosen
    Robert Florey was a French-American film director and screenwriter known for his work in early Hollywood horror and experimental cinema.
  • B. Lewis Maurice Schanfield
    Lewis Maurice Schanfield, better known as Lew Fields, was a prominent American vaudeville comedian, actor, and theatrical producer of the late 19th and early 20th centuries.
  • C. Frank Losee
    Frank Losee was an American stage and silent film actor active in the early 20th century.
  • D. Harold Butz
    Harold Butz is an individual notable enough to be specifically cited as a bearer of the surname Butz.
  • E. George Benenson
    George Benenson was an American nuclear physicist known for his contributions to nuclear science and for co-authoring influential reference works in the field.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798b6640819085d5b12dc35633fe completed April 20, 2026, 7:07 p.m.
Created at: April 16, 2026, 11:28 a.m.