Triple

T4510903
Position Surface form Disambiguated ID Type / Status
Subject Bruce Cohen E102051 entity
Predicate notableWork P4 FINISHED
Object American Beauty E62110 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: American Beauty | Statement: [Bruce Cohen, notableWork, American Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Beauty
Context triple: [Bruce Cohen, notableWork, American Beauty]
  • A. American Beauty chosen
    American Beauty is a 1999 American drama film directed by Sam Mendes that explores suburban disillusionment, midlife crisis, and the search for meaning beneath a facade of domestic perfection.
  • B. American Beauty
    "American Beauty" is a solo album by punk rock musician C.J. Ramone, known for its melodic, Ramones-influenced sound.
  • C. American Beauty
    "American Beauty" is a 1970 studio album by the Grateful Dead, celebrated for its rich harmonies, folk-rock sound, and enduring songs like "Truckin'" and "Ripple."
  • D. The American Beauty
    The American Beauty is a silent film best known for featuring popular 1920s actress Billie Dove in a leading role.
  • E. Boogie Nights
    Boogie Nights is a 1997 drama film directed by Paul Thomas Anderson that chronicles the rise and fall of a young porn star in the 1970s and 1980s adult film industry.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5712b9308190876c117b50d12635 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f814dd081908b07ce0c2abee3c1 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.