Triple

T18317540
Position Surface form Disambiguated ID Type / Status
Subject Sheikh E438786 entity
Predicate transliterationVariant P5923 FINISHED
Object Shaikh 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: Shaikh | Statement: [Sheikh, transliterationVariant, Shaikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaikh
Context triple: [Sheikh, transliterationVariant, Shaikh]
  • A. Sheikh chosen
    Sheikh is an honorific title in Arabic-speaking and Islamic cultures denoting a leader, elder, or person of high social, religious, or political status.
  • B. Sheikh Shams
    Sheikh Shams is a central holy figure in Yazidism, often associated with the sun and revered as one of the key divine beings in the Yazidi religious tradition.
  • C. Sheikh Taba
    Sheikh Taba is a town located in the Akkar Governorate of northern Lebanon, near the border with Syria.
  • D. al-Shaykh
    al-Shaykh is an Arabic surname notably borne by Lebanese novelist and short story writer Hanan al-Shaykh.
  • E. Shaikh Mubarak Nagori
    Shaikh Mubarak Nagori was a prominent 16th-century Indian Islamic scholar and theologian best known as the father and intellectual influence of the Mughal court historian Abu’l-Fazl.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021f5f1081909fd98c8fb786c7ff completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.