Triple

T11091160
Position Surface form Disambiguated ID Type / Status
Subject Fayez E262256 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Faiez E262256 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: Faiez | Statement: [Fayez, hasVariantTransliteration, Faiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faiez
Context triple: [Fayez, hasVariantTransliteration, Faiez]
  • A. Fayez chosen
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • B. Faifi
    Faifi is a modern South Arabian language variety spoken by the Faifi people in the mountainous Jazan region of southwestern Saudi Arabia.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • E. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d66ded88190877a20a10f012d6b completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.