Triple

T5079878
Position Surface form Disambiguated ID Type / Status
Subject The Legend of Zelda E114486 entity
Predicate hasRace P37842 FINISHED
Object Zora E62792 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: Zora | Statement: [The Legend of Zelda, hasRace, Zora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zora
Context triple: [The Legend of Zelda, hasRace, Zora]
  • A. Zora chosen
    Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
  • B. Kaska
    Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
  • C. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • D. Rarámuri
    The Rarámuri, also known as the Tarahumara, are an Indigenous people of northern Mexico renowned for their exceptional long-distance running abilities and traditional way of life in the canyons and mountains of the Sierra Madre.
  • E. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f86c988190aa026073ed435a45 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1303bc4819084e0270a8ff97aec completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.