Triple
T21301645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behrouz Vossoughi |
E525078
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Katayoun Amjadi
Katayoun Amjadi is known as the spouse of Iranian actor Behrouz Vossoughi.
|
E1489584
|
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: Katayoun Amjadi | Statement: [Behrouz Vossoughi, spouse, Katayoun Amjadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katayoun Amjadi Context triple: [Behrouz Vossoughi, spouse, Katayoun Amjadi]
-
A.
Taraneh Alidoosti
Taraneh Alidoosti is an acclaimed Iranian actress known for her leading roles in contemporary Iranian cinema and frequent collaborations with director Asghar Farhadi.
-
B.
Bahareh Azimi
Bahareh Azimi is a screenwriter best known for co-writing the 2014 American drama film "99 Homes."
-
C.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
D.
Zari Khoshkam
Zari Khoshkam was an Iranian actress known for her work in film and television and as the mother of acclaimed actress Leila Hatami.
-
E.
Sia Alipour
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
- 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: Katayoun Amjadi Triple: [Behrouz Vossoughi, spouse, Katayoun Amjadi]
Generated description
Katayoun Amjadi is known as the spouse of Iranian actor Behrouz Vossoughi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katayoun Amjadi Target entity description: Katayoun Amjadi is known as the spouse of Iranian actor Behrouz Vossoughi.
-
A.
Taraneh Alidoosti
Taraneh Alidoosti is an acclaimed Iranian actress known for her leading roles in contemporary Iranian cinema and frequent collaborations with director Asghar Farhadi.
-
B.
Bahareh Azimi
Bahareh Azimi is a screenwriter best known for co-writing the 2014 American drama film "99 Homes."
-
C.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
D.
Zari Khoshkam
Zari Khoshkam was an Iranian actress known for her work in film and television and as the mother of acclaimed actress Leila Hatami.
-
E.
Sia Alipour
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385cd6308190bf300494833b048f |
completed | April 21, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e8103c288190a6818521971b4d1c |
completed | May 17, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_6a09e8c687fc81908d3b8b7a2cdfedff |
completed | May 17, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e93ff78c819099a9fed7a4874ba5 |
completed | May 17, 2026, 4:13 p.m. |
Created at: April 16, 2026, 4:05 p.m.