Triple

T17038884
Position Surface form Disambiguated ID Type / Status
Subject Moncef E413390 entity
Predicate hasVariant P455 FINISHED
Object Mouncef E413390 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: Mouncef | Statement: [Moncef, hasVariant, Mouncef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouncef
Context triple: [Moncef, hasVariant, Mouncef]
  • A. Mounir
    Mounir is a masculine given name of Arabic origin, commonly used in various Arabic-speaking and Muslim-majority countries.
  • B. Moncef chosen
    Moncef is a masculine given name of Arabic origin commonly used in North African countries.
  • C. Makhlouf
    Makhlouf is a prominent Syrian family name associated with influential figures in the country’s political and economic elite.
  • D. Beni Khalled
    Beni Khalled is a town in northeastern Tunisia known for its agricultural production, particularly citrus fruits, within the Nabeul region.
  • E. Noussair Mazraoui
    Noussair Mazraoui is a Moroccan professional footballer, primarily a right-back, known for his performances in top European leagues and as a regular member of the Morocco national team.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5ceb048190a7f6cf2361360f90 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.