Triple

T5030951
Position Surface form Disambiguated ID Type / Status
Subject Kristīne Opolais E113299 entity
Predicate notableRole P22 FINISHED
Object Rusalka
Rusalka is the water nymph title character of Antonín Dvořák’s opera, best known for her tragic love story and the famous aria “Song to the Moon.”
 E487515 NE FINISHED

How this triple was built (4 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: Rusalka | Statement: [Kristīne Opolais, notableRole, Rusalka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rusalka
Context triple: [Kristīne Opolais, notableRole, Rusalka]
  • A. Iolanta
    Iolanta is a one-act lyric opera by Pyotr Ilyich Tchaikovsky that tells the story of a blind princess who discovers sight and love.
  • B. Ondine
    Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
  • C. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • D. Ondine
    Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
  • E. Ondine
    Ondine is a 1954 Broadway play by Jean Giraudoux, adapted by Maurice Valency, in which Audrey Hepburn gave an acclaimed, Tony-winning performance as a water nymph.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rusalka
Triple: [Kristīne Opolais, notableRole, Rusalka]
Generated description
Rusalka is the water nymph title character of Antonín Dvořák’s opera, best known for her tragic love story and the famous aria “Song to the Moon.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rusalka
Target entity description: Rusalka is the water nymph title character of Antonín Dvořák’s opera, best known for her tragic love story and the famous aria “Song to the Moon.”
  • A. Iolanta
    Iolanta is a one-act lyric opera by Pyotr Ilyich Tchaikovsky that tells the story of a blind princess who discovers sight and love.
  • B. Ondine
    Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
  • C. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • D. Ondine
    Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
  • E. Ondine
    Ondine is a 1954 Broadway play by Jean Giraudoux, adapted by Maurice Valency, in which Audrey Hepburn gave an acclaimed, Tony-winning performance as a water nymph.
  • F. None of above. chosen

Provenance (5 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73922a4c81908651c2d9b5e01cb6 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6df1b88190ad61c87a28312957 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d0b87d48190a2f75e7c6e472d94 completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9d6b81888190b203988b37306df2 completed March 21, 2026, 1:30 p.m.
Created at: March 20, 2026, 1:36 p.m.