Triple

T3193190
Position Surface form Disambiguated ID Type / Status
Subject Roxana E66871 entity
Predicate isRelatedToName P3889 FINISHED
Object Roshanak
Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
E336966 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: Roshanak | Statement: [Roxana, isRelatedToName, Roshanak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roshanak
Context triple: [Roxana, isRelatedToName, Roshanak]
  • A. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • B. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • C. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • D. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • E. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • 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: Roshanak
Triple: [Roxana, isRelatedToName, Roshanak]
Generated description
Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roshanak
Target entity description: Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • A. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • B. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • C. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • D. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • E. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada713bf0c81908f3143f45f63a5ad completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262181a4c8190b31bbb6bd7bef436 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2638b3b2881909563356ea8a9611c completed March 12, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69b264fb42e4819084c289235f33b654 completed March 12, 2026, 7:02 a.m.
Created at: March 8, 2026, 3:07 p.m.