Triple

T5982466
Position Surface form Disambiguated ID Type / Status
Subject Nouri al-Maliki E133150 entity
Predicate givenName P17 FINISHED
Object Nouri
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
 E566255 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: Nouri | Statement: [Nouri al-Maliki, givenName, Nouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nouri
Context triple: [Nouri al-Maliki, givenName, Nouri]
  • A. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • B. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • C. Al-Ruʾāsī
    Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
  • D. Tolba Marzuq
    Tolba Marzuq is a character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse boarders at the Alexandria pension whose interactions reflect Egypt’s social and political tensions in the 1960s.
  • E. Al-Asfour
    Al-Asfour is a film directed by renowned Egyptian filmmaker Youssef Chahine, recognized as one of his significant works in Arab 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: Nouri
Triple: [Nouri al-Maliki, givenName, Nouri]
Generated description
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nouri
Target entity description: Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
  • A. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • B. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • C. Al-Ruʾāsī
    Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
  • D. Tolba Marzuq
    Tolba Marzuq is a character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse boarders at the Alexandria pension whose interactions reflect Egypt’s social and political tensions in the 1960s.
  • E. Al-Asfour
    Al-Asfour is a film directed by renowned Egyptian filmmaker Youssef Chahine, recognized as one of his significant works in Arab 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6a9f2c8190b900cd7e3ab9fe42 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cd3988c8190aecc690a02c26c25 completed March 23, 2026, 10:58 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:04 p.m.