Triple

T11764824
Position Surface form Disambiguated ID Type / Status
Subject Arrigo Boito E279754 entity
Predicate wroteLibrettoFor P1360 FINISHED
Object Aida (revisions) E455387 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: Aida (revisions) | Statement: [Arrigo Boito, wroteLibrettoFor, Aida (revisions)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aida (revisions)
Context triple: [Arrigo Boito, wroteLibrettoFor, Aida (revisions)]
  • A. 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.
  • B. "Aida" chosen
    "Aida" is Giuseppe Verdi's grand opera set in ancient Egypt, renowned for its dramatic love triangle, monumental choruses, and powerful arias.
  • C. Baraka
    Baraka is a lakeside city in the eastern Democratic Republic of the Congo, situated on the shores of Lake Tanganyika in the province of South Kivu.
  • D. Aykah
    Aykah is a community mentioned in Islamic tradition as the people to whom the prophet Shu'ayb was sent, known for their wrongdoing and subsequent divine punishment.
  • E. Awjila
    Awjila is an endangered Eastern Berber language once spoken in the oasis town of Awjila in northeastern Libya.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a570ca88190ba2f3791c0e0ba60 completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.