Triple

T14944113
Position Surface form Disambiguated ID Type / Status
Subject Frances Bergen E372607 entity
Predicate notableWork P4 FINISHED
Object American Gigolo E455510 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 Gigolo | Statement: [Frances Bergen, notableWork, American Gigolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Gigolo
Context triple: [Frances Bergen, notableWork, American Gigolo]
  • A. American Gigolo chosen
    American Gigolo is a 1980 neo-noir crime drama film about a high-priced male escort in Los Angeles, widely known for its stylish direction and for helping establish Richard Gere as a major Hollywood star.
  • B. Gigolo Joe
    Gigolo Joe is a charming, hyper-stylized male-prostitute android character from Steven Spielberg’s science fiction film "A.I. Artificial Intelligence."
  • C. Gigolo
    "Gigolo" is a poem by Sylvia Plath, included in her collection *Winter Trees*, that explores themes of sexuality, performance, and emotional detachment.
  • D. Pronto Monto
    Pronto Monto is a 1978 folk-pop album by Canadian singer-songwriters Kate and Anna McGarrigle, known for its lush arrangements and witty, bilingual songwriting.
  • E. Tokyo Joe
    Tokyo Joe is a 1949 film noir crime drama starring Humphrey Bogart as an ex-serviceman entangled in postwar Tokyo’s criminal underworld.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9484e8819086ca6a59d672e49d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.