Triple

T10062204
Position Surface form Disambiguated ID Type / Status
Subject Jaafar Tukan E213017 entity
Predicate givenName P17 FINISHED
Object Jaafar
Jaafar is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
E839493 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: Jaafar | Statement: [Jaafar Tukan, givenName, Jaafar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaafar
Context triple: [Jaafar Tukan, givenName, Jaafar]
  • A. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • B. Mir Jafar
    Mir Jafar was an 18th-century Nawab of Bengal best known for his alliance with the British East India Company, which helped establish British colonial rule in India.
  • C. Jafar
    Jafar is the primary villain and power-hungry sorcerer from Disney’s Aladdin franchise, known for his scheming ambition to seize control of Agrabah.
  • D. Mir Ja‘far
    Mir Ja‘far was an 18th-century Nawab of Bengal best known for his role in aiding the British East India Company’s rise to power in India, particularly through his involvement in the Battle of Plassey.
  • E. Bajazet
    Bajazet is a 1672 French tragic play by Jean Racine set in the Ottoman court, known for its intense psychological drama and classical verse.
  • 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: Jaafar
Triple: [Jaafar Tukan, givenName, Jaafar]
Generated description
Jaafar is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaafar
Target entity description: Jaafar is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
  • A. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • B. Mir Jafar
    Mir Jafar was an 18th-century Nawab of Bengal best known for his alliance with the British East India Company, which helped establish British colonial rule in India.
  • C. Jafar
    Jafar is the primary villain and power-hungry sorcerer from Disney’s Aladdin franchise, known for his scheming ambition to seize control of Agrabah.
  • D. Mir Ja‘far
    Mir Ja‘far was an 18th-century Nawab of Bengal best known for his role in aiding the British East India Company’s rise to power in India, particularly through his involvement in the Battle of Plassey.
  • E. Bajazet
    Bajazet is a 1672 French tragic play by Jean Racine set in the Ottoman court, known for its intense psychological drama and classical verse.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd3c6bc8190a21ed3566f9c08d1 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a717f008190907089e1acb32361 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:58 p.m.