Triple

T22528168
Position Surface form Disambiguated ID Type / Status
Subject Al-Masir E556958 entity
Predicate castMember P1668 FINISHED
Object Laila Eloui 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: Laila Eloui | Statement: [Al-Masir, castMember, Laila Eloui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laila Eloui
Context triple: [Al-Masir, castMember, Laila Eloui]
  • A. Laila Eloui chosen
    Laila Eloui is an Egyptian actress known for her extensive and acclaimed work in Arab cinema and television.
  • B. Laila Marrakchi
    Laila Marrakchi is a Moroccan film director best known for her provocative and internationally acclaimed feature "Marock," which explores youth, class, and religion in contemporary Morocco.
  • C. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • D. Leila Kenzle
    Leila Kenzle is an American actress best known for playing Fran Devanow on the 1990s television sitcom "Mad About You."
  • E. Najla Bouden
    Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
  • 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_69f15ed4d4608190ba93bb54f15334a5 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.