Triple

T20322024
Position Surface form Disambiguated ID Type / Status
Subject Seif E492228 entity
Predicate hasNotableBearer P458 FINISHED
Object Riad Seif NE NERFINISHED

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: [Seif, hasNotableBearer, Riad Seif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riad Seif
Context triple: [Seif, hasNotableBearer, 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. Riad Kassis
    Riad Kassis is a Lebanese Christian theologian and leader known for his work in evangelical theological education and global church initiatives.
  • C. Saad Haddad
    Saad Haddad was a Lebanese militia leader and army officer who founded and commanded the Israeli-backed South Lebanon Army during the Lebanese Civil War.
  • D. Manaf Tlass
    Manaf Tlass is a former Syrian brigadier general and member of a prominent Sunni family who defected from Bashar al-Assad’s regime during the Syrian civil war.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778c4430819083b17da5067b88ef completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:20 a.m.