Triple
T10647892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran (TV series) |
E250883
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Reza Diako
Reza Diako is an actor known for his role in the television series "Tehran."
|
E883007
|
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: Reza Diako | Statement: [Tehran (TV series), castMember, Reza Diako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reza Diako Context triple: [Tehran (TV series), castMember, Reza Diako]
-
A.
Reza Mirkarimi
Reza Mirkarimi is an acclaimed Iranian film director and screenwriter known for his humanistic dramas and significant contributions to contemporary Iranian cinema.
-
B.
Reza Abbasi
Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
-
C.
Saeed Jalili
Saeed Jalili is an Iranian conservative politician and diplomat known for serving as Iran’s chief nuclear negotiator and holding senior national security roles within the Islamic Republic.
-
D.
Rasoul Azadani
Rasoul Azadani is a film cinematographer best known for his work on Disney’s animated feature "Tangled."
-
E.
Gobi Rahimi
Gobi Rahimi is a music video director best known for his work with Tupac Shakur during the 1990s West Coast hip-hop era.
- 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: Reza Diako Triple: [Tehran (TV series), castMember, Reza Diako]
Generated description
Reza Diako is an actor known for his role in the television series "Tehran."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reza Diako Target entity description: Reza Diako is an actor known for his role in the television series "Tehran."
-
A.
Reza Mirkarimi
Reza Mirkarimi is an acclaimed Iranian film director and screenwriter known for his humanistic dramas and significant contributions to contemporary Iranian cinema.
-
B.
Reza Abbasi
Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
-
C.
Saeed Jalili
Saeed Jalili is an Iranian conservative politician and diplomat known for serving as Iran’s chief nuclear negotiator and holding senior national security roles within the Islamic Republic.
-
D.
Rasoul Azadani
Rasoul Azadani is a film cinematographer best known for his work on Disney’s animated feature "Tangled."
-
E.
Gobi Rahimi
Gobi Rahimi is a music video director best known for his work with Tupac Shakur during the 1990s West Coast hip-hop era.
- 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_69de22473bc08190a28558dfdade9f17 |
completed | April 14, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_69de25d25474819081402b75ef7492f6 |
completed | April 14, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2808244c8190bdb2d4d49f30e0d7 |
completed | April 14, 2026, 11:42 a.m. |
Created at: April 8, 2026, 9:05 p.m.