Triple

T11855737
Position Surface form Disambiguated ID Type / Status
Subject Marwan Kenzari E282035 entity
Predicate givenName P17 FINISHED
Object Marwan E769375 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: Marwan | Statement: [Marwan Kenzari, givenName, Marwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marwan
Context triple: [Marwan Kenzari, givenName, Marwan]
  • A. Marwan chosen
    Marwan is a common Arabic male given name, historically associated with several notable figures in the Arab and Islamic world.
  • B. Marwan al-Himar
    Marwan al-Himar, better known as Marwan II, was the last Umayyad caliph who ruled from 744 to 750 CE before the dynasty was overthrown by the Abbasid Revolution.
  • C. Marwan Kenzari
    Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
  • D. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • E. Saif al-Adel
    Saif al-Adel is a senior Egyptian militant and former military officer widely believed to be the de facto leader of al-Qaeda and a key strategist behind several major terrorist operations.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41798b5888190b615d4e23fe3d55e completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:43 p.m.