Triple

T2008653
Position Surface form Disambiguated ID Type / Status
Subject George Gershwin E43641 entity
Predicate notableWork P4 FINISHED
Object An American in Paris E136796 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: An American in Paris | Statement: [George Gershwin, notableWork, An American in Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An American in Paris
Context triple: [George Gershwin, notableWork, An American in Paris]
  • A. An American in Paris chosen
    An American in Paris is a 1951 Technicolor musical film starring Gene Kelly, celebrated for its Gershwin score and elaborate ballet sequence set in postwar Paris.
  • B. La Vie en rose
    "La Vie en rose" is a classic French song, originally made famous by Édith Piaf, that became one of Louis Armstrong’s signature romantic jazz standards through his celebrated interpretation.
  • C. Astaire Time
    "Astaire Time" is a 1960 television musical special showcasing Fred Astaire’s song-and-dance performances and innovative choreography.
  • D. On the Town
    On the Town is a 1944 Broadway musical with music by Leonard Bernstein that follows three sailors on 24-hour shore leave in New York City, later adapted into a popular 1949 film.
  • E. Moulin Rouge
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae395a08190abf2077ad7a975ba completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.