Triple

T21686826
Position Surface form Disambiguated ID Type / Status
Subject Faris E535250 entity
Predicate hasVariant P455 FINISHED
Object Fariz 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: Fariz | Statement: [Faris, hasVariant, Fariz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fariz
Context triple: [Faris, hasVariant, Fariz]
  • A. Faris chosen
    Faris is a masculine given name of Arabic origin commonly meaning "knight" or "horseman."
  • B. Faris
    Faris is the surname of American actress and comedian Anna Faris, known for her roles in the Scary Movie film series and various comedy projects.
  • C. Farid
    Farid is a masculine given name of Arabic origin commonly used across the Middle East and South Asia, meaning "unique" or "precious."
  • D. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • E. Fadilla
    Fadilla, formally Annia Aurelia Fadilla, was a Roman noblewoman of the 2nd century and daughter of Emperor Marcus Aurelius.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.