Triple
T22395874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 65 (2023 film) |
E553627
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Zainab Azizi
Zainab Azizi is a film producer known for her work on the 2023 movie "65."
|
E1533482
|
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: Zainab Azizi | Statement: [65 (2023 film), producer, Zainab Azizi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zainab Azizi Context triple: [65 (2023 film), producer, Zainab Azizi]
-
A.
Yasmine Al-Bustami
Yasmine Al-Bustami is a Jordanian-American actress best known for her role as junior special agent Lucy Tara on the television series NCIS: Hawaiʻi.
-
B.
Najla Bouden
Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
-
C.
Aisha Abd al-Jawad
Aisha Abd al-Jawad is a central fictional character in Naguib Mahfouz’s Cairo Trilogy, representing the struggles and evolving role of women in early 20th-century Egyptian society.
-
D.
Lubna Azabal
Lubna Azabal is a Belgian actress of Moroccan and Spanish descent, acclaimed for her intense performances in international films and television dramas.
-
E.
Fatima Namazi
Fatima Namazi is a member of the Office of Special Projects, contributing to its specialized initiatives and operations.
- 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: Zainab Azizi Triple: [65 (2023 film), producer, Zainab Azizi]
Generated description
Zainab Azizi is a film producer known for her work on the 2023 movie "65."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zainab Azizi Target entity description: Zainab Azizi is a film producer known for her work on the 2023 movie "65."
-
A.
Yasmine Al-Bustami
Yasmine Al-Bustami is a Jordanian-American actress best known for her role as junior special agent Lucy Tara on the television series NCIS: Hawaiʻi.
-
B.
Najla Bouden
Najla Bouden is a Tunisian academic and politician who became the country’s first female prime minister and the first woman to hold such a post in the Arab world.
-
C.
Aisha Abd al-Jawad
Aisha Abd al-Jawad is a central fictional character in Naguib Mahfouz’s Cairo Trilogy, representing the struggles and evolving role of women in early 20th-century Egyptian society.
-
D.
Lubna Azabal
Lubna Azabal is a Belgian actress of Moroccan and Spanish descent, acclaimed for her intense performances in international films and television dramas.
-
E.
Fatima Namazi
Fatima Namazi is a member of the Office of Special Projects, contributing to its specialized initiatives and operations.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c6ad5481909d8138fd1d05bcca |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea3e17208190a0f4977d4117e7fc |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaa0110c8190b796ea8d52471ca1 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:45 p.m.