Triple

T5090881
Position Surface form Disambiguated ID Type / Status
Subject Riad Seif E114748 entity
Predicate name P16 FINISHED
Object Riad Seif E114748 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: Riad Seif | Statement: [Riad Seif, name, Riad Seif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riad Seif
Context triple: [Riad Seif, name, Riad Seif]
  • A. Riad Seif chosen
    Riad Seif is a prominent Syrian opposition politician and businessman known for his leading role in organizing and representing anti-Assad forces during the Syrian Civil War.
  • B. Anas al-Abdah
    Anas al-Abdah is a Syrian opposition politician who has held senior leadership roles in exile-based bodies opposing Bashar al-Assad’s government during the Syrian Civil War.
  • C. Iyad Alsaka
    Iyad Alsaka is a senior executive at the global architecture and engineering firm OMA, known for leading major international urban and architectural projects.
  • D. Hadi Simaan
    Hadi Simaan is an architect best known for designing major landmark projects in the Middle East, including Doha’s Aspire Tower.
  • E. 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.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7541b2bc8190b58c2a23733b7825 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1489ffc8190af95b90debb88d63 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.