Triple

T13161754
Position Surface form Disambiguated ID Type / Status
Subject Abdel Hakim Amer E312743 entity
Predicate givenName P17 FINISHED
Object Abdel Hakim E312743 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: Abdel Hakim | Statement: [Abdel Hakim Amer, givenName, Abdel Hakim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdel Hakim
Context triple: [Abdel Hakim Amer, givenName, Abdel Hakim]
  • A. Abdel Hakim chosen
    Abdel Hakim is the given name of Abdel Hakim Amer, a prominent Egyptian military officer and political figure during the Nasser era.
  • B. Abd El Hadi
    Abd El Hadi is a personal name of Arabic origin, commonly used in various Arabic-speaking countries and among Muslim communities worldwide.
  • C. Marouf al-Bakhit
    Marouf al-Bakhit was a Jordanian military officer, diplomat, and politician who twice served as Jordan’s prime minister in the mid-2000s and early 2010s.
  • D. Abdelaziz Hamid
    Abdelaziz Hamid is a person notable enough to be recognized as a prominent bearer of the surname Hamid.
  • E. Abdel Aziz
    Abdel Aziz is a common Arabic male given name meaning "servant of the Almighty" and is widely used across the Muslim world.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7edb40819095dfa45d3c61a0e3 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:12 p.m.