Triple
T21018107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jafar Panahi |
E517732
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tahereh Saeedi
Tahereh Saeedi is an Iranian woman best known as the wife of acclaimed filmmaker Jafar Panahi and a vocal supporter of his work and legal struggles.
|
E1472319
|
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: Tahereh Saeedi | Statement: [Jafar Panahi, spouse, Tahereh Saeedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tahereh Saeedi Context triple: [Jafar Panahi, spouse, Tahereh Saeedi]
-
A.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
B.
Sareh Bayat
Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
-
C.
Shahrzad Fooladi
Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
-
D.
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.
-
E.
Jamila Taheri
Jamila Taheri is a woman known primarily as the mother-in-law of a person named Amir.
- 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: Tahereh Saeedi Triple: [Jafar Panahi, spouse, Tahereh Saeedi]
Generated description
Tahereh Saeedi is an Iranian woman best known as the wife of acclaimed filmmaker Jafar Panahi and a vocal supporter of his work and legal struggles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tahereh Saeedi Target entity description: Tahereh Saeedi is an Iranian woman best known as the wife of acclaimed filmmaker Jafar Panahi and a vocal supporter of his work and legal struggles.
-
A.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
B.
Sareh Bayat
Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
-
C.
Shahrzad Fooladi
Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
-
D.
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.
-
E.
Jamila Taheri
Jamila Taheri is a woman known primarily as the mother-in-law of a person named Amir.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5a27f08190b26828a6a7b59f7c |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097eb77c748190a87f51754a93448b |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a098258757c8190b394f20074093f58 |
completed | May 17, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0982a8fc7c81909c47076b33bcb24a |
completed | May 17, 2026, 8:56 a.m. |
Created at: April 16, 2026, 1:54 p.m.