Triple

T17014357
Position Surface form Disambiguated ID Type / Status
Subject Dinazad E412779 entity
Predicate nameVariant P744 FINISHED
Object Dunyazad
Dunyazad is a character in the collection of Middle Eastern folk tales known as One Thousand and One Nights, traditionally depicted as the younger sister of Scheherazade.
 E1247093 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: Dunyazad | Statement: [Dinazad, nameVariant, Dunyazad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dunyazad
Context triple: [Dinazad, nameVariant, Dunyazad]
  • A. Shahriyar
    Shahriyar was a Sasanian Persian prince, known primarily as the son of the last Sasanian king, Yazdegerd III.
  • B. Al-Dhali'
    Al-Dhali' is a governorate in southwestern Yemen known for its mountainous terrain and role in the country’s recent political and military conflicts.
  • C. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • D. Muladis
    Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
  • E. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • 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: Dunyazad
Triple: [Dinazad, nameVariant, Dunyazad]
Generated description
Dunyazad is a character in the collection of Middle Eastern folk tales known as One Thousand and One Nights, traditionally depicted as the younger sister of Scheherazade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dunyazad
Target entity description: Dunyazad is a character in the collection of Middle Eastern folk tales known as One Thousand and One Nights, traditionally depicted as the younger sister of Scheherazade.
  • A. Shahriyar
    Shahriyar was a Sasanian Persian prince, known primarily as the son of the last Sasanian king, Yazdegerd III.
  • B. Al-Dhali'
    Al-Dhali' is a governorate in southwestern Yemen known for its mountainous terrain and role in the country’s recent political and military conflicts.
  • C. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • D. Muladis
    Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
  • E. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47e64f081908f43870c7564d0ae completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4990948190861ff81f8fc3e8f2 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011cc1afc48190b83e3203407c1d7f completed May 11, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a011d67c82c8190b737406e8952eb2b completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.