Triple

T21297852
Position Surface form Disambiguated ID Type / Status
Subject Maktoum bin Juma Al Maktoum E524972 entity
Predicate title P38 FINISHED
Object Sheikh 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: Sheikh | Statement: [Maktoum bin Juma Al Maktoum, title, Sheikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheikh
Context triple: [Maktoum bin Juma Al Maktoum, title, Sheikh]
  • 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. Sheik
    Sheik is the mysterious, ninja-like persona adopted by Princess Zelda in The Legend of Zelda series, known for agility, stealth, and guidance to the hero.
  • E. al-Shaykh
    al-Shaykh is an Arabic surname notably borne by Lebanese novelist and short story writer Hanan al-Shaykh.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.