Triple

T17154743
Position Surface form Disambiguated ID Type / Status
Subject Khalifa bin Salman Al Khalifa E416313 entity
Predicate hasTitle P38 FINISHED
Object Sheikh E438786 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: Sheikh | Statement: [Khalifa bin Salman Al Khalifa, hasTitle, Sheikh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheikh
Context triple: [Khalifa bin Salman Al Khalifa, hasTitle, 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 (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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40a6b7c8190838e588c4fd81d95 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415f3cd481908e96ca294cf3b247 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:37 a.m.