Triple

T17328038
Position Surface form Disambiguated ID Type / Status
Subject Incendies E420737 entity
Predicate castMember P1668 FINISHED
Object Lubna Azabal E1241237 NE FINISHED

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: Lubna Azabal | Statement: [Incendies, castMember, Lubna Azabal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubna Azabal
Context triple: [Incendies, castMember, Lubna Azabal]
  • A. Lubna Azabal chosen
    Lubna Azabal is a Belgian actress of Moroccan and Spanish descent, acclaimed for her intense performances in international films and television dramas.
  • B. Safia Farkash
    Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
  • C. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • D. Aida Helal
    Aida Helal is an actress known for her role in the classic Egyptian film "The Nightingale's Prayer."
  • E. Mona Khalidi
    Mona Khalidi is known primarily as the wife of Palestinian-American historian and Columbia University professor Rashid Khalidi.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d42154819093a240f677a63145 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01954ecadc8190a6484ff0a207fe9b completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.