Triple

T10568823
Position Surface form Disambiguated ID Type / Status
Subject Wasfi al-Tal E249424 entity
Predicate givenName P17 FINISHED
Object Wasfi
Wasfi is an Arabic masculine given name commonly used in the Middle East.
 E871891 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: Wasfi | Statement: [Wasfi al-Tal, givenName, Wasfi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wasfi
Context triple: [Wasfi al-Tal, givenName, Wasfi]
  • A. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • B. Faizi
    Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
  • C. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • D. Nâzim
    Nâzim is the given name of Nâzim Hikmet, a renowned Turkish poet, playwright, and novelist known for his revolutionary and modernist works.
  • E. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • 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: Wasfi
Triple: [Wasfi al-Tal, givenName, Wasfi]
Generated description
Wasfi is an Arabic masculine given name commonly used in the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wasfi
Target entity description: Wasfi is an Arabic masculine given name commonly used in the Middle East.
  • A. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • B. Faizi
    Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
  • C. Tahsin
    Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
  • D. Nâzim
    Nâzim is the given name of Nâzim Hikmet, a renowned Turkish poet, playwright, and novelist known for his revolutionary and modernist works.
  • E. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e2f16788190bec54b250dad09a9 completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d9518517608190b5036694b83f5f58 completed April 10, 2026, 7:37 p.m.
Created at: April 6, 2026, 12:37 p.m.