Triple
T20932564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimson Gold |
E515504
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Azita Rayeji
Azita Rayeji is an Iranian actress best known internationally for her leading role in Jafar Panahi’s acclaimed film "Crimson Gold."
|
E1458134
|
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: Azita Rayeji | Statement: [Crimson Gold, starredActor, Azita Rayeji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azita Rayeji Context triple: [Crimson Gold, starredActor, Azita Rayeji]
-
A.
Alexandra Amini
Alexandra Amini is an actress known for appearing in the popular 1987 comedy film "Three Men and a Baby."
-
B.
Soraya Nazarian
Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
-
C.
Alice Rivaz
Alice Rivaz was a Swiss novelist and short story writer known for her introspective, socially engaged portrayals of women's lives in 20th-century Switzerland.
-
D.
Dora Esmailian
Dora Esmailian is a film editor known for her work on the movie "Miracle Mile."
-
E.
Soraya Taheri
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
- 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: Azita Rayeji Triple: [Crimson Gold, starredActor, Azita Rayeji]
Generated description
Azita Rayeji is an Iranian actress best known internationally for her leading role in Jafar Panahi’s acclaimed film "Crimson Gold."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azita Rayeji Target entity description: Azita Rayeji is an Iranian actress best known internationally for her leading role in Jafar Panahi’s acclaimed film "Crimson Gold."
-
A.
Alexandra Amini
Alexandra Amini is an actress known for appearing in the popular 1987 comedy film "Three Men and a Baby."
-
B.
Soraya Nazarian
Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
-
C.
Alice Rivaz
Alice Rivaz was a Swiss novelist and short story writer known for her introspective, socially engaged portrayals of women's lives in 20th-century Switzerland.
-
D.
Dora Esmailian
Dora Esmailian is a film editor known for her work on the movie "Miracle Mile."
-
E.
Soraya Taheri
Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
- 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_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fd064248190ae7ae1c980b68b8c |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a0920c37ec48190a043097a24151022 |
completed | May 17, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09219be3c48190a610062e59e05876 |
completed | May 17, 2026, 2:02 a.m. |
Created at: April 16, 2026, 12:49 p.m.