Triple

T5030972
Position Surface form Disambiguated ID Type / Status
Subject Kristīne Opolais E113299 entity
Predicate recordLabel P1500 FINISHED
Object Orfeo E113300 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: Orfeo | Statement: [Kristīne Opolais, recordLabel, Orfeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orfeo
Context triple: [Kristīne Opolais, recordLabel, Orfeo]
  • A. Orfeo chosen
    Orfeo is a classical music record label known for its high-quality recordings of orchestral, operatic, and chamber music.
  • B. Orpheus
    Orpheus is a legendary musician, poet, and prophet in ancient Greek mythology, famed for his enchanting music that could charm all living things and even the gods of the underworld.
  • C. L'Orfeo
    L'Orfeo is a pioneering early Baroque opera by Claudio Monteverdi, often regarded as one of the first great masterpieces of the operatic repertoire.
  • D. Aida
    Aida is a Broadway musical, with music by Elton John and lyrics by Tim Rice, that retells the tragic love story between an enslaved Nubian princess and an Egyptian soldier.
  • E. 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.
  • 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_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_69bea477efec8190a84a0186f5517a43 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:36 p.m.