Triple

T17305635
Position Surface form Disambiguated ID Type / Status
Subject Bilall Fallah E420155 entity
Predicate givenName P17 FINISHED
Object Bilall
Bilall is a Belgian film director and screenwriter best known as one half of the directing duo Adil & Bilall, recognized for stylish action and crime films like "Bad Boys for Life."
E1267525 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: Bilall | Statement: [Bilall Fallah, givenName, Bilall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilall
Context triple: [Bilall Fallah, givenName, Bilall]
  • A. Bilawal
    Bilawal is the given name of Pakistani politician Bilawal Bhutto Zardari, chairman of the Pakistan Peoples Party and former foreign minister of Pakistan.
  • B. Asif
    Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
  • C. Rizwan Wahab
    Rizwan Wahab is an Indian individual known primarily as the brother of acclaimed film and television actress Zarina Wahab.
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Umair Aleem
    Umair Aleem is a screenwriter best known for penning action-thriller films, including the 2015 movie "Extraction."
  • 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: Bilall
Triple: [Bilall Fallah, givenName, Bilall]
Generated description
Bilall is a Belgian film director and screenwriter best known as one half of the directing duo Adil & Bilall, recognized for stylish action and crime films like "Bad Boys for Life."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bilall
Target entity description: Bilall is a Belgian film director and screenwriter best known as one half of the directing duo Adil & Bilall, recognized for stylish action and crime films like "Bad Boys for Life."
  • A. Bilawal
    Bilawal is the given name of Pakistani politician Bilawal Bhutto Zardari, chairman of the Pakistan Peoples Party and former foreign minister of Pakistan.
  • B. Asif
    Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
  • C. Rizwan Wahab
    Rizwan Wahab is an Indian individual known primarily as the brother of acclaimed film and television actress Zarina Wahab.
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Umair Aleem
    Umair Aleem is a screenwriter best known for penning action-thriller films, including the 2015 movie "Extraction."
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7e776688190ab752bd25cf4591a completed May 11, 2026, 9:56 a.m.
NEDg Description generation batch_6a01a9249a148190a0d5c4d0ee87de43 completed May 11, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_6a01aa503d948190ad1c68e8b6f62a9f completed May 11, 2026, 10:07 a.m.
Created at: April 10, 2026, 5:43 a.m.