Triple
T20066297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soraya Esfandiary-Bakhtiary |
E499615
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Soraya of Iran
Soraya of Iran was the second wife of Shah Mohammad Reza Pahlavi and a former Queen consort of Iran, renowned for her beauty, tragic royal marriage, and later career in European cinema and fashion.
|
E1411147
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soraya of Iran Context triple: [Soraya Esfandiary-Bakhtiary, alsoKnownAs, Soraya of Iran]
-
A.
Princess Firouzeh Vokhshouri
Princess Firouzeh Vokhshouri is a member of Jordan’s extended royal circle, known primarily as the former wife of Prince Asem bin Nayef and the mother of Princess Noor bint Asem.
-
B.
Yasmine Pahlavi
Yasmine Pahlavi is an Iranian-American lawyer and human rights advocate, best known as the wife of exiled Crown Prince Reza Pahlavi and for her work supporting democracy and women’s rights in Iran.
-
C.
Princess of Iran
Princess of Iran is a royal title historically held by female members of the Iranian imperial family, particularly during the Pahlavi dynasty before the 1979 revolution.
-
D.
Soraya Tarzi
Soraya Tarzi was a pioneering Afghan queen and women's rights advocate in the early 20th century who played a key role in her country’s modernization.
-
E.
Nasrin
Nasrin is a Persian given name commonly used for women, notably borne by Iranian human rights lawyer Nasrin Sotoudeh.
- 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: Soraya of Iran Triple: [Soraya Esfandiary-Bakhtiary, alsoKnownAs, Soraya of Iran]
Generated description
Soraya of Iran was the second wife of Shah Mohammad Reza Pahlavi and a former Queen consort of Iran, renowned for her beauty, tragic royal marriage, and later career in European cinema and fashion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soraya of Iran Target entity description: Soraya of Iran was the second wife of Shah Mohammad Reza Pahlavi and a former Queen consort of Iran, renowned for her beauty, tragic royal marriage, and later career in European cinema and fashion.
-
A.
Princess Firouzeh Vokhshouri
Princess Firouzeh Vokhshouri is a member of Jordan’s extended royal circle, known primarily as the former wife of Prince Asem bin Nayef and the mother of Princess Noor bint Asem.
-
B.
Yasmine Pahlavi
Yasmine Pahlavi is an Iranian-American lawyer and human rights advocate, best known as the wife of exiled Crown Prince Reza Pahlavi and for her work supporting democracy and women’s rights in Iran.
-
C.
Princess of Iran
Princess of Iran is a royal title historically held by female members of the Iranian imperial family, particularly during the Pahlavi dynasty before the 1979 revolution.
-
D.
Soraya Tarzi
Soraya Tarzi was a pioneering Afghan queen and women's rights advocate in the early 20th century who played a key role in her country’s modernization.
-
E.
Nasrin
Nasrin is a Persian given name commonly used for women, notably borne by Iranian human rights lawyer Nasrin Sotoudeh.
- F. None of above. chosen
Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270032a08190af7547d8dfd8b0ee |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08278ca40c8190930bf43e45472ea0 |
completed | May 16, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0827b8ce248190ac3b689b8b12879f |
completed | May 16, 2026, 8:15 a.m. |
Created at: April 11, 2026, 3:39 p.m.