Triple
T5168344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soraya Esfandiary-Bakhtiary |
E116613
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Soraya
Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
|
E499615
|
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: Soraya | Statement: [Soraya Esfandiary-Bakhtiary, givenName, Soraya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soraya Context triple: [Soraya Esfandiary-Bakhtiary, givenName, Soraya]
-
A.
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.
-
B.
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.
-
C.
Arnissa
Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
-
D.
Yaël
Yaël is a French feminine given name of Hebrew origin, commonly borne by contemporary public figures such as politicians and artists.
-
E.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
- 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 Triple: [Soraya Esfandiary-Bakhtiary, givenName, Soraya]
Generated description
Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soraya Target entity description: Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
-
A.
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.
-
B.
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.
-
C.
Arnissa
Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
-
D.
Yaël
Yaël is a French feminine given name of Hebrew origin, commonly borne by contemporary public figures such as politicians and artists.
-
E.
Romina
Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794b87508190be3b82726ef4b37c |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed93f33ac8190b2f60a8e95685bc8 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda0419108190862d028a14227e8a |
completed | March 21, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedaa232ac81908c5ee2d4ba8cbcd7 |
completed | March 21, 2026, 5:51 p.m. |
Created at: March 20, 2026, 1:45 p.m.