Triple

T13298555
Position Surface form Disambiguated ID Type / Status
Subject Nizar Qabbani E316747 entity
Predicate givenName P17 FINISHED
Object Nizar
Nizar is a masculine given name most famously associated with the Syrian poet and diplomat Nizar Qabbani.
E1035001 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: Nizar | Statement: [Nizar Qabbani, givenName, Nizar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nizar
Context triple: [Nizar Qabbani, givenName, Nizar]
  • A. Nouri
    Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Marwan
    Marwan is a common Arabic male given name, historically associated with several notable figures in the Arab and Islamic world.
  • D. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • E. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • 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: Nizar
Triple: [Nizar Qabbani, givenName, Nizar]
Generated description
Nizar is a masculine given name most famously associated with the Syrian poet and diplomat Nizar Qabbani.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nizar
Target entity description: Nizar is a masculine given name most famously associated with the Syrian poet and diplomat Nizar Qabbani.
  • A. Nouri
    Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Marwan
    Marwan is a common Arabic male given name, historically associated with several notable figures in the Arab and Islamic world.
  • D. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • E. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f262fd88190ba8871f8761a660b completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f720bb48f081908d67d330dcfc2953 completed May 3, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_69f721baaf34819081113c586fae013f completed May 3, 2026, 10:21 a.m.
Created at: April 9, 2026, 9:28 p.m.