Triple

T22527517
Position Surface form Disambiguated ID Type / Status
Subject Abdulhalim Nasr E556947 entity
Predicate name P16 FINISHED
Object Abdulhalim Nasr 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: Abdulhalim Nasr | Statement: [Abdulhalim Nasr, name, Abdulhalim Nasr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdulhalim Nasr
Context triple: [Abdulhalim Nasr, name, Abdulhalim Nasr]
  • A. Abdulhalim Nasr chosen
    Abdulhalim Nasr was an Egyptian cinematographer known for his work on classic Arabic films, including the acclaimed drama "The Nightingale's Prayer."
  • B. Ahmad Shamlū
    Ahmad Shamlū was a prominent Iranian poet, writer, and translator, widely regarded as one of the most influential figures in modern Persian poetry.
  • C. Azmi Fakhuri
    Azmi Fakhuri is a Lebanese architect best known for designing Beirut’s prominent Mohammad Al-Amin Mosque, a major modern landmark in the city’s downtown.
  • D. Muhammad Amin
    Muhammad Amin was a prominent 15th–16th century khan of the Kazan Khanate known for his political maneuvering between Muscovy and neighboring Tatar states.
  • E. Achmed Abdullah
    Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.