Triple

T4962685
Position Surface form Disambiguated ID Type / Status
Subject Nawaf Salam E111446 entity
Predicate givenName P17 FINISHED
Object Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
 E483431 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: Nawaf | Statement: [Nawaf Salam, givenName, Nawaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nawaf
Context triple: [Nawaf Salam, givenName, Nawaf]
  • A. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • B. al-Natsheh
    al-Natsheh is an Arabic family name associated with Palestinian individuals and families, including political and public figures.
  • C. Anas al-Abdah
    Anas al-Abdah is a Syrian opposition politician who has held senior leadership roles in exile-based bodies opposing Bashar al-Assad’s government during the Syrian Civil War.
  • D. Fahd
    Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
  • E. 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.
  • 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: Nawaf
Triple: [Nawaf Salam, givenName, Nawaf]
Generated description
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nawaf
Target entity description: Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
  • A. Talal
    Talal is a masculine given name of Arabic origin commonly used across the Arab world.
  • B. al-Natsheh
    al-Natsheh is an Arabic family name associated with Palestinian individuals and families, including political and public figures.
  • C. Anas al-Abdah
    Anas al-Abdah is a Syrian opposition politician who has held senior leadership roles in exile-based bodies opposing Bashar al-Assad’s government during the Syrian Civil War.
  • D. Fahd
    Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
  • E. 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.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f3e6148190b99f35734220ffc3 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81ea8cc08190af40098ca99364f1 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be82dcc280819098eac824370b1af0 completed March 21, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69be8349507481908643591de7f03f42 completed March 21, 2026, 11:38 a.m.
Created at: March 20, 2026, 1:32 p.m.