Triple

T16698263
Position Surface form Disambiguated ID Type / Status
Subject The Well-Groomed Bride E405775 entity
Predicate screenwriter P2831 FINISHED
Object Albert Beich 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: Albert Beich | Statement: [The Well-Groomed Bride, screenwriter, Albert Beich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Beich
Context triple: [The Well-Groomed Bride, screenwriter, Albert Beich]
  • A. Albert Beich chosen
    Albert Beich was an American screenwriter known for his work on mid-20th-century Hollywood films and television productions.
  • B. Louis Becker
    Louis Becker is an architect recognized as a prominent protégé and collaborator of Danish architect Henning Larsen.
  • C. Louis Butz
    Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
  • D. Frank Beyer
    Frank Beyer was a prominent East German film director known for his socially critical and politically charged works produced under the state-owned DEFA studio.
  • E. George Weisgerber
    George Weisgerber is an American reality television personality best known for appearing as a contestant on the VH1 dating show "I Love New York 2."
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:19 a.m.