Triple
T10647893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran (TV series) |
E250883
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sia Alipour
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
|
E877120
|
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: Sia Alipour | Statement: [Tehran (TV series), castMember, Sia Alipour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sia Alipour Context triple: [Tehran (TV series), castMember, Sia Alipour]
-
A.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
B.
Zahra Sadeghi
Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
-
C.
Sarah Solemani
Sarah Solemani is a British actress and writer known for her roles in television comedies like "Him & Her" and "Bad Education" as well as various film and stage performances.
-
D.
Shahrzad Fooladi
Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
-
E.
Zahra Rahnavard
Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
- 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: Sia Alipour Triple: [Tehran (TV series), castMember, Sia Alipour]
Generated description
Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sia Alipour Target entity description: Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
-
A.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
B.
Zahra Sadeghi
Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
-
C.
Sarah Solemani
Sarah Solemani is a British actress and writer known for her roles in television comedies like "Him & Her" and "Bad Education" as well as various film and stage performances.
-
D.
Shahrzad Fooladi
Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
-
E.
Zahra Rahnavard
Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe29b8081908eb13637e0475ba1 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e13913081908dd1fb60fa44db05 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.