Triple

T15822668
Position Surface form Disambiguated ID Type / Status
Subject Future Zahir Wilburn E383649 entity
Predicate middleName P143 FINISHED
Object Zahir
Zahir is a given name of Arabic origin meaning "shining," "radiant," or "evident," used across various cultures as a masculine first or middle name.
 E1178064 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: Zahir | Statement: [Future Zahir Wilburn, middleName, Zahir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zahir
Context triple: [Future Zahir Wilburn, middleName, Zahir]
  • A. Raza Murad
    Raza Murad is an Indian character actor known for his deep voice and frequent portrayals of villains and authoritative figures in Hindi cinema.
  • B. Alamuddin
    Alamuddin is the Lebanese Druze family name of prominent human rights lawyer Amal Clooney (née Amal Alamuddin).
  • C. Cassim
    Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
  • D. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • E. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • 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: Zahir
Triple: [Future Zahir Wilburn, middleName, Zahir]
Generated description
Zahir is a given name of Arabic origin meaning "shining," "radiant," or "evident," used across various cultures as a masculine first or middle name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zahir
Target entity description: Zahir is a given name of Arabic origin meaning "shining," "radiant," or "evident," used across various cultures as a masculine first or middle name.
  • A. Raza Murad
    Raza Murad is an Indian character actor known for his deep voice and frequent portrayals of villains and authoritative figures in Hindi cinema.
  • B. Alamuddin
    Alamuddin is the Lebanese Druze family name of prominent human rights lawyer Amal Clooney (née Amal Alamuddin).
  • C. Cassim
    Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
  • D. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • E. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a887d881908f74a1fcba390727 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999bba548190a39adc2d0e11c605 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a56d43c8190819deb48d59e16cb completed May 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69ff9acbd2b481908b9d415e26d0db81 completed May 9, 2026, 8:36 p.m.
Created at: April 10, 2026, 4:49 a.m.