Triple

T23421223
Position Surface form Disambiguated ID Type / Status
Subject يوسف شاهين E560658 entity
Predicate اسم_بالإنجليزية P3437 FINISHED
Object Youssef Chahine 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: Youssef Chahine | Statement: [يوسف شاهين, اسم_بالإنجليزية, Youssef Chahine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youssef Chahine
Context triple: [يوسف شاهين, اسم_بالإنجليزية, Youssef Chahine]
  • A. Youssef Chahine chosen
    Youssef Chahine was a pioneering Egyptian film director and screenwriter renowned for his influential, socially engaged cinema and for helping shape modern Arab film.
  • B. Bahaa E. A. Saleh
    Bahaa E. A. Saleh is a prominent physicist and engineer known for his influential contributions to optics and photonics, including quantum optics and optical signal processing.
  • C. Tewfik Saleh
    Tewfik Saleh was an influential Egyptian film director and screenwriter known for his socially critical and realist contributions to Arab cinema.
  • D. Ziad Doueiri
    Ziad Doueiri is a Lebanese filmmaker and former Quentin Tarantino camera assistant known for politically charged films such as "West Beirut" and "The Insult."
  • E. Amos Labaki
    Amos Labaki is a cinematographer best known for his work on the 1995 horror film "The Mangler," adapted from a Stephen King short story.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54605dc81909aad9834ef6ff8a1 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:46 p.m.