Triple

T10952936
Position Surface form Disambiguated ID Type / Status
Subject Tayeb Salih E258768 entity
Predicate givenName P17 FINISHED
Object Tayeb
Tayeb is the given name of Tayeb Salih, a renowned Sudanese novelist best known for his work "Season of Migration to the North."
 E894853 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: Tayeb | Statement: [Tayeb Salih, givenName, Tayeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tayeb
Context triple: [Tayeb Salih, givenName, Tayeb]
  • A. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • C. Sayd al-Khatir
    Sayd al-Khatir is a renowned collection of reflections and aphoristic writings by the medieval Islamic scholar Ibn al-Jawzi, offering insights into theology, ethics, and spiritual life.
  • D. 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.
  • E. Wasfi
    Wasfi is an Arabic masculine given name commonly used in the Middle East.
  • 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: Tayeb
Triple: [Tayeb Salih, givenName, Tayeb]
Generated description
Tayeb is the given name of Tayeb Salih, a renowned Sudanese novelist best known for his work "Season of Migration to the North."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tayeb
Target entity description: Tayeb is the given name of Tayeb Salih, a renowned Sudanese novelist best known for his work "Season of Migration to the North."
  • A. Tahir
    Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • B. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • C. Sayd al-Khatir
    Sayd al-Khatir is a renowned collection of reflections and aphoristic writings by the medieval Islamic scholar Ibn al-Jawzi, offering insights into theology, ethics, and spiritual life.
  • D. 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.
  • E. Wasfi
    Wasfi is an Arabic masculine given name commonly used in the Middle East.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fcfb3c8190b7823869670184a6 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c64089c8190a9c0aa63d7e7dc64 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24543bd2c8190a3c807baa76c30f6 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e25d11ef24819091e730ae2416a058 completed April 17, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:23 p.m.