Triple

T8674680
Position Surface form Disambiguated ID Type / Status
Subject Hewrami E205883 entity
Predicate relatedTo P37 FINISHED
Object Zaza E205247 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: Zaza | Statement: [Hewrami, relatedTo, Zaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaza
Context triple: [Hewrami, relatedTo, Zaza]
  • A. Zaza chosen
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • B. Zana
    Zana is a song featured on the album "Legend of the Sun Virgin" by Peruvian-Australian singer-songwriter and producer Gaby Moreno (performing as part of the project).
  • C. Zana
    Zana is a young girl character on the 1990s sitcom "The Sinbad Show," where she is one of the foster children cared for by Sinbad's character.
  • D. Zeeba
    Zeeba is a Brazilian singer-songwriter and producer best known for his vocal collaborations on international electronic dance music hits.
  • E. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491cee048190a6f6cddabada76dc completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd43c91c8190a9d1e5d14d764530 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.