Triple

T13718380
Position Surface form Disambiguated ID Type / Status
Subject Born 2 Rap E328960 entity
Predicate producer P490 FINISHED
Object Tarik Azzouz
Tarik Azzouz is a music producer known for his work on the project "Born 2 Rap."
 E1057227 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: Tarik Azzouz | Statement: [Born 2 Rap, producer, Tarik Azzouz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarik Azzouz
Context triple: [Born 2 Rap, producer, Tarik Azzouz]
  • A. Karim Kharbouch
    Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
  • B. Ali Laarayedh
    Ali Laarayedh is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
  • C. Mohamed Ennaceur
    Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
  • D. Sami Bouajila
    Sami Bouajila is a French-Tunisian actor acclaimed for his intense, nuanced performances in European cinema and international thrillers.
  • E. Tarak Ben Ammar
    Tarak Ben Ammar is a Tunisian-French film producer and media mogul known for financing and producing numerous international films and working closely with major Hollywood studios and European cinema.
  • 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: Tarik Azzouz
Triple: [Born 2 Rap, producer, Tarik Azzouz]
Generated description
Tarik Azzouz is a music producer known for his work on the project "Born 2 Rap."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarik Azzouz
Target entity description: Tarik Azzouz is a music producer known for his work on the project "Born 2 Rap."
  • A. Karim Kharbouch
    Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
  • B. Ali Laarayedh
    Ali Laarayedh is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
  • C. Mohamed Ennaceur
    Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
  • D. Sami Bouajila
    Sami Bouajila is a French-Tunisian actor acclaimed for his intense, nuanced performances in European cinema and international thrillers.
  • E. Tarak Ben Ammar
    Tarak Ben Ammar is a Tunisian-French film producer and media mogul known for financing and producing numerous international films and working closely with major Hollywood studios and European cinema.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5a23bc8190942568658665bbb0 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79f1051b48190ac4704b43e759237 completed May 3, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f79fdf974081909108b0fd89e76d56 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.