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.