Triple

T20270097
Position Surface form Disambiguated ID Type / Status
Subject Boq E499069 entity
Predicate friendOf P8712 FINISHED
Object Fiyero NE NERFINISHED

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: Fiyero | Statement: [Boq, friendOf, Fiyero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiyero
Context triple: [Boq, friendOf, Fiyero]
  • A. Fiyero
    Fiyero is a central character in the musical and novel "Wicked," portrayed as a carefree prince who becomes Elphaba's love interest and undergoes significant moral growth.
  • B. Fiyero Tiggular chosen
    Fiyero Tiggular is a principal character in the musical "Wicked," a carefree prince who becomes Elphaba's love interest and undergoes a significant moral transformation.
  • C. Firyal
    Firyal is a Jordanian princess and philanthropist known for her humanitarian work and involvement in international cultural and charitable organizations.
  • D. Zayne
    Zayne is a given name, often used as a modern variant of Zane, associated with contemporary and stylish connotations.
  • E. Lehae
    Lehae is a residential suburb located in the southern part of Johannesburg, South Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dd7c58819095bbf4baeda04d6a completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.