Triple

T23257141
Position Surface form Disambiguated ID Type / Status
Subject Kikakui script E581903 entity
Predicate creator P184 FINISHED
Object Mohamed Turay 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: Mohamed Turay | Statement: [Kikakui script, creator, Mohamed Turay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohamed Turay
Context triple: [Kikakui script, creator, Mohamed Turay]
  • A. Mohammed Turay chosen
    Mohammed Turay was a Sierra Leonean scholar credited with devising the Kikakui script used for writing the Mende language.
  • B. Hassan Bubacar Jallow
    Hassan Bubacar Jallow is a Gambian jurist and former Attorney General who served as the Chief Prosecutor of the International Criminal Tribunal for Rwanda, playing a key role in prosecuting crimes committed during the 1994 genocide.
  • C. Ebrahim Adia
    Ebrahim Adia is a British higher education leader who serves as Vice-Chancellor of the University of Wolverhampton.
  • D. Haddy McDodd
    Haddy McDodd is one of the many daughters of Mayor Ned McDodd in Dr. Seuss’s "Horton Hears a Who!" and its adaptations.
  • E. Karim Wade
    Karim Wade is a Senegalese politician and former government minister, widely known as the son and close political ally of former president Abdoulaye Wade.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.