Triple

T10943420
Position Surface form Disambiguated ID Type / Status
Subject Fayez Banihammad E258532 entity
Predicate givenName P17 FINISHED
Object Fayez E262256 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: Fayez | Statement: [Fayez Banihammad, givenName, Fayez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fayez
Context triple: [Fayez Banihammad, givenName, Fayez]
  • A. Fayez chosen
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • B. Marwan
    Marwan is a common Arabic male given name, historically associated with several notable figures in the Arab and Islamic world.
  • C. Al-Asfour
    Al-Asfour is a film directed by renowned Egyptian filmmaker Youssef Chahine, recognized as one of his significant works in Arab cinema.
  • D. Nouri
    Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c3fb388190a598f89ae59a7b51 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d722972c8190b14637dc9e52ce11 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.