Triple

T10360416
Position Surface form Disambiguated ID Type / Status
Subject Marwan al-Shehhi E244118 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 al-Shehhi, givenName, Marwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marwan
Context triple: [Marwan al-Shehhi, 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e64109881908c42a4fbcfd057be completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:59 a.m.