Triple

T22528061
Position Surface form Disambiguated ID Type / Status
Subject Alexandria Again and Forever E556956 entity
Predicate hasCastMember P2308 FINISHED
Object Lebleba
Lebleba is an Egyptian actress and comedian known for her prolific film career and versatile performances in Egyptian cinema.
 E1542026 NE FINISHED

How this triple was built (4 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: Lebleba | Statement: [Alexandria Again and Forever, hasCastMember, Lebleba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lebleba
Context triple: [Alexandria Again and Forever, hasCastMember, Lebleba]
  • A. Balewa
    Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
  • B. Rabius
    Rabius is a village in the Swiss canton of Graubünden, known as a small alpine settlement within the municipality of Sumvitg.
  • C. El-Keib
    El-Keib is the surname of Abdurrahim El-Keib, a Libyan academic and politician who served as interim Prime Minister of Libya after the 2011 civil war.
  • D. Baydhabo
    Baydhabo is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • E. Djibi
    Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lebleba
Triple: [Alexandria Again and Forever, hasCastMember, Lebleba]
Generated description
Lebleba is an Egyptian actress and comedian known for her prolific film career and versatile performances in Egyptian cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lebleba
Target entity description: Lebleba is an Egyptian actress and comedian known for her prolific film career and versatile performances in Egyptian cinema.
  • A. Balewa
    Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
  • B. Rabius
    Rabius is a village in the Swiss canton of Graubünden, known as a small alpine settlement within the municipality of Sumvitg.
  • C. El-Keib
    El-Keib is the surname of Abdurrahim El-Keib, a Libyan academic and politician who served as interim Prime Minister of Libya after the 2011 civil war.
  • D. Baydhabo
    Baydhabo is a major city in southwestern Somalia that serves as the capital of the Bay region and an important political and commercial center.
  • E. Djibi
    Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0b1dda8fd48190a9bb7f64c2b0b684 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1f71cd00819089872bb9fe52a248 completed May 18, 2026, 2:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0b257ec8a481908bf6c6c0b722e702 completed May 18, 2026, 2:43 p.m.
Created at: April 16, 2026, 8:51 p.m.