Triple

T16562106
Position Surface form Disambiguated ID Type / Status
Subject Kais Saied E402363 entity
Predicate familyName P18 FINISHED
Object Saied E402363 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: Saied | Statement: [Kais Saied, familyName, Saied]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saied
Context triple: [Kais Saied, familyName, Saied]
  • A. Saied chosen
    Saied is the family name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of power.
  • B. Hadi al-Bahra
    Hadi al-Bahra is a Syrian opposition politician who served as president of the Syrian National Coalition during the Syrian civil war.
  • C. Banisadr
    Banisadr is the surname of Abolhassan Banisadr, the first president of the Islamic Republic of Iran following the 1979 revolution.
  • D. Mohammad Javad
    Mohammad Javad is the given name of Mohammad Javad Zarif, an influential Iranian diplomat and former foreign minister known for his role in negotiating the Iran nuclear deal.
  • E. Hamid Hussein
    Hamid Hussein is a fictional character in Paulo Coelho’s novel "The Winner Stands Alone," depicted within the book’s exploration of power, fame, and moral corruption in the world of high society and celebrity culture.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576eb63081908cb5dc6c0a8a13ac completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075925b18819084c6d476eceea5f5 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.