Triple

T14918786
Position Surface form Disambiguated ID Type / Status
Subject Vitas E371452 entity
Predicate breakthroughSong P8087 FINISHED
Object Opera #2 E1126466 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: Opera #2 | Statement: [Vitas, breakthroughSong, Opera #2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera #2
Context triple: [Vitas, breakthroughSong, Opera #2]
  • A. Opera #2 chosen
    "Opera #2" is a famous high-register pop song by Russian singer Vitas, widely recognized for its dramatic vocals and viral internet popularity.
  • B. Opera aperta
    Opera aperta is a seminal 1962 critical theory book by Umberto Eco that explores the concept of the "open work," emphasizing the active role of the reader or audience in interpreting artworks.
  • C. The Opera
    "The Opera" is a track from R.'s album that likely showcases a dramatic, theatrical musical style inspired by operatic elements.
  • D. opera I due timidi
    opera I due timidi is a one-act comic opera by Italian composer Nino Rota, known for its light, lyrical style and humorous exploration of shyness and missed romantic opportunities.
  • E. Opus 200
    Opus 200 is a non-fiction collection by Isaac Asimov that surveys and reflects on his extensive body of work up to his 200th published book.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62f76bc81909ebc8899096cd1a0 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e86ce888190b03056db39438701 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:33 a.m.