Triple

T1263173
Position Surface form Disambiguated ID Type / Status
Subject Don Juan (1926 film) E12544 entity
Predicate title P38 FINISHED
Object Don Juan E18082 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: Don Juan | Statement: [Don Juan (1926 film), title, Don Juan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Juan
Context triple: [Don Juan (1926 film), title, Don Juan]
  • A. Don Juan chosen
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • B. Casanova
    Casanova is a 2005 British television drama serial written by Russell T Davies that reimagines the life and loves of the famed 18th-century adventurer Giacomo Casanova.
  • C. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • D. Pánfilo
    Pánfilo is a masculine given name of Spanish origin, historically associated with the conquistador Pánfilo de Narváez.
  • E. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc8d6908190a5b2cf1051cc6d5e completed March 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9982a1588190999045eaae01e559 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.