Triple

T16790924
Position Surface form Disambiguated ID Type / Status
Subject Ahmed Hachani E408106 entity
Predicate servesUnder P12828 FINISHED
Object Kais Saied E92089 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: Kais Saied | Statement: [Ahmed Hachani, servesUnder, Kais Saied]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kais Saied
Context triple: [Ahmed Hachani, servesUnder, Kais Saied]
  • A. Kais Saied chosen
    Kais Saied is a Tunisian politician and former law professor who became Tunisia’s president in 2019 and has since drawn global attention for consolidating power and reshaping the country’s political system.
  • B. Saïd Ben Saïd
    Saïd Ben Saïd is a Tunisian-French film producer known for collaborating with prominent directors on acclaimed international films.
  • C. Yussef El Guindi
    Yussef El Guindi is an Egyptian-American playwright known for works that explore Arab-American identity, immigration, and the politics of the Middle East.
  • D. Fayez Banihammad
    Fayez Banihammad was one of the al-Qaeda operatives who participated as a hijacker in the September 11, 2001 terrorist attacks in the United States.
  • E. Saied
    Saied is the family name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of power.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a5d10c8190a581de79e4f7ccfa completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28970748190836806c68ad9e230 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.