Triple
T20932138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Separation |
E515495
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Sareh Bayat
Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
|
E1461209
|
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: Sareh Bayat | Statement: [A Separation, starring, Sareh Bayat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sareh Bayat Context triple: [A Separation, starring, Sareh Bayat]
-
A.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
B.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
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.
Bahareh Azimi
Bahareh Azimi is a screenwriter best known for co-writing the 2014 American drama film "99 Homes."
-
E.
Narges Rashidi
Narges Rashidi is an Iranian-German actress known for her roles in international film and television, particularly in genre and crime dramas.
- 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: Sareh Bayat Triple: [A Separation, starring, Sareh Bayat]
Generated description
Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sareh Bayat Target entity description: Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
-
A.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
B.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
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.
Bahareh Azimi
Bahareh Azimi is a screenwriter best known for co-writing the 2014 American drama film "99 Homes."
-
E.
Narges Rashidi
Narges Rashidi is an Iranian-German actress known for her roles in international film and television, particularly in genre and crime dramas.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092fa967a481909a7e6356b7662a4c |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a093084412c81908acf5c2003ed23ab |
completed | May 17, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093180137c819081ede1b22630701b |
completed | May 17, 2026, 3:09 a.m. |
Created at: April 16, 2026, 12:49 p.m.