Triple

T19486109
Position Surface form Disambiguated ID Type / Status
Subject Rusalka E487515 entity
Predicate librettist P1141 FINISHED
Object Jaroslav Kvapil NE NERFINISHED

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: Jaroslav Kvapil | Statement: [Rusalka, librettist, Jaroslav Kvapil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaroslav Kvapil
Context triple: [Rusalka, librettist, Jaroslav Kvapil]
  • A. Jaroslav Kvapil chosen
    Jaroslav Kvapil was a Czech poet, playwright, and librettist best known for writing the libretto to Antonín Dvořák’s opera "Rusalka."
  • B. Pavel Kohout
    Pavel Kohout is a Czech writer and former dissident best known as a prominent playwright and novelist associated with the Prague Spring and the Charter 77 movement.
  • C. Jaroslav Svoboda
    Jaroslav Svoboda is a Czech professional ice hockey player known for his career as a forward in European leagues and brief stint in the NHL.
  • D. Viktor Pospíšil
    Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
  • E. Josef Hlávka
    Josef Hlávka was a prominent 19th-century Czech architect, builder, and philanthropist known for designing major public buildings and supporting arts and education in the Austro-Hungarian Empire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343f46e88190b7ba65c210285bee completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.