Triple

T8129351
Position Surface form Disambiguated ID Type / Status
Subject The Kingdom E189815 entity
Predicate portrayedBy P1507 FINISHED
Object Ali Suliman E294058 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: Ali Suliman | Statement: [The Kingdom, portrayedBy, Ali Suliman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Suliman
Context triple: [The Kingdom, portrayedBy, Ali Suliman]
  • A. Ali Suliman chosen
    Ali Suliman is a Palestinian actor known for his roles in international films and television series, often portraying complex characters in political and war-themed dramas.
  • B. Ali Hamid
    Ali Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
  • C. Mansour Khalid
    Mansour Khalid was a prominent Sudanese politician, diplomat, and intellectual who served in senior government positions and played a key role in Sudan’s modern political history.
  • D. Abdullah Ensour
    Abdullah Ensour is a Jordanian economist and politician who served as the country's prime minister in the 2010s.
  • E. Khalid Abdalla
    Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3457196081909f739af8c17b4d4c completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:34 p.m.