Triple

T5214158
Position Surface form Disambiguated ID Type / Status
Subject Joe Pasternak E117706 entity
Predicate produced P490 FINISHED
Object The Student Prince E337047 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: The Student Prince | Statement: [Joe Pasternak, produced, The Student Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Student Prince
Context triple: [Joe Pasternak, produced, The Student Prince]
  • A. The Student Prince chosen
    The Student Prince is a popular operetta set in a romanticized German university town, known for its sentimental story and memorable melodies like "Drink! Drink! Drink!" and "Serenade."
  • B. Prince of Broadway
    Prince of Broadway is a musical revue celebrating the career and landmark productions of legendary Broadway director and producer Harold Prince.
  • C. The Waltz King
    The Waltz King is the nickname of Austrian composer Johann Strauss II, famed for popularizing the Viennese waltz through works like "The Blue Danube."
  • D. Princesse Tam-Tam
    Princesse Tam-Tam is a 1935 French film starring Josephine Baker, known for its blend of musical comedy and exoticized colonial fantasy.
  • E. The Merry Widow
    The Merry Widow is a 1925 silent romantic drama film directed by Erich von Stroheim, celebrated for its lavish production, darkly comic tone, and influence on early Hollywood cinema.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefe325988190b35e3502f147c9c2 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:47 p.m.