Triple

T19796341
Position Surface form Disambiguated ID Type / Status
Subject F. W. Murnau E475550 entity
Predicate directed P7373 FINISHED
Object City Girl NE NERFINISHED

How this triple was built (3 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: City Girl | Statement: [F. W. Murnau, directed, City Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Girl
Context triple: [F. W. Murnau, directed, City Girl]
  • A. City Girls
    City Girls are an American hip hop duo from Miami known for their unapologetic, sexually confident lyrics and energetic club anthems.
  • B. Girl from New York City
    "Girl from New York City" is a 1965 Beach Boys song, inspired by the Ad Libs' hit "The Boy from New York City," that playfully celebrates an alluring urban woman.
  • C. Gun Street Girl
    "Gun Street Girl" is a dark, narrative-driven song by Tom Waits from his critically acclaimed 1985 album Rain Dogs, blending gravelly vocals with experimental, percussion-heavy instrumentation.
  • D. China Girl
    "China Girl" is a 1987 romantic crime drama film directed by Abel Ferrara that reimagines the "Romeo and Juliet" story amid gang tensions between New York's Chinatown and Little Italy.
  • E. China Girl
    "China Girl" is a 1983 pop song by David Bowie, co-written with Iggy Pop, known for its new wave sound and controversial music video exploring themes of cultural fetishization and romance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City Girl
Target entity description: City Girl is a 1930 silent drama film by German Expressionist filmmaker F. W. Murnau, noted for its lyrical depiction of rural life and romantic tragedy.
  • A. City Girls
    City Girls are an American hip hop duo from Miami known for their unapologetic, sexually confident lyrics and energetic club anthems.
  • B. Girl from New York City
    "Girl from New York City" is a 1965 Beach Boys song, inspired by the Ad Libs' hit "The Boy from New York City," that playfully celebrates an alluring urban woman.
  • C. Gun Street Girl
    "Gun Street Girl" is a dark, narrative-driven song by Tom Waits from his critically acclaimed 1985 album Rain Dogs, blending gravelly vocals with experimental, percussion-heavy instrumentation.
  • D. China Girl
    "China Girl" is a 1987 romantic crime drama film directed by Abel Ferrara that reimagines the "Romeo and Juliet" story amid gang tensions between New York's Chinatown and Little Italy.
  • E. China Girl
    "China Girl" is a 1983 pop song by David Bowie, co-written with Iggy Pop, known for its new wave sound and controversial music video exploring themes of cultural fetishization and romance.
  • F. None of above. chosen

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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c723548190ac9bfaecaf8afb13 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.