Triple

T20322026
Position Surface form Disambiguated ID Type / Status
Subject Riad Seif E492228 entity
Predicate familyName P18 FINISHED
Object 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: Seif | Statement: [Riad Seif, familyName, Seif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seif
Context triple: [Riad Seif, familyName, Seif]
  • A. Seif chosen
    Seif is a family name most notably associated with Riad Seif, a prominent Syrian businessman and opposition politician.
  • B. Zul Kifl
    Zul Kifl is an Islamic prophet or righteous figure mentioned briefly in the Qur’an, traditionally identified by some scholars with the biblical Ezekiel.
  • C. Sulem
    Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
  • D. Moneer
    Moneer is a given name, typically an alternative transliteration of the Arabic name Munir, meaning "bright" or "illuminating."
  • E. Taher
    Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
  • 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.