Triple

T2561863
Position Surface form Disambiguated ID Type / Status
Subject Nayib Bukele E57258 entity
Predicate givenName P17 FINISHED
Object Nayib E57258 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: Nayib | Statement: [Nayib Bukele, givenName, Nayib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayib
Context triple: [Nayib Bukele, givenName, Nayib]
  • A. Nayib chosen
    Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
  • B. Kader Asmal
    Kader Asmal was a prominent South African anti-apartheid activist, legal scholar, and cabinet minister who played a key role in shaping the country’s post-apartheid constitutional and human rights framework.
  • C. Kabnis
    Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
  • D. Salih
    Salih is a prophet in Islamic tradition who was sent to the ancient tribe of Thamud and is notably associated with the miracle of the she-camel.
  • E. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd336183c819084ed7de8ccc4c548 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d264db481908e9dc3b5e2e8260a completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.