Triple

T1845683
Position Surface form Disambiguated ID Type / Status
Subject Ballets Russes E41277 entity
Predicate premiered P12045 FINISHED
Object Scheherazade E14213 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: Scheherazade | Statement: [Ballets Russes, premiered, Scheherazade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scheherazade
Context triple: [Ballets Russes, premiered, Scheherazade]
  • A. The Arabian Nights chosen
    The Arabian Nights is a classic collection of Middle Eastern folk tales framed by the story of Scheherazade, whose imaginative storytelling each night postpones her execution by a king.
  • B. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • C. Aga of the Janissaries
    The Aga of the Janissaries was the high-ranking commander and administrative head of the Ottoman Empire’s elite Janissary corps.
  • D. Roxana
    Roxana is a feminine given name of Persian origin, historically associated with figures such as the wife of Alexander the Great and later borne by various notable women.
  • E. Zeb-un-Nissa
    Zeb-un-Nissa was a Mughal princess and noted Persian-language poet renowned for her literary works and intellectual pursuits in 17th-century India.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb7c2354081909ee4da7669932796 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c070548190af52d3feaa3aead2 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.