Triple
T11345591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazanin Boniadi |
E268703
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Boniadi
Boniadi is the surname of Nazanin Boniadi, an Iranian-British actress and human rights activist known for her roles in film and television and her advocacy work.
|
E920030
|
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: Boniadi | Statement: [Nazanin Boniadi, familyName, Boniadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boniadi Context triple: [Nazanin Boniadi, familyName, Boniadi]
-
A.
Bonalu
Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
-
B.
Badiu
Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
-
C.
Boni
Boni is an Italian surname shared by various notable figures in fields such as archaeology, politics, and the arts.
-
D.
Bariadi
Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
-
E.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
- 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: Boniadi Triple: [Nazanin Boniadi, familyName, Boniadi]
Generated description
Boniadi is the surname of Nazanin Boniadi, an Iranian-British actress and human rights activist known for her roles in film and television and her advocacy work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boniadi Target entity description: Boniadi is the surname of Nazanin Boniadi, an Iranian-British actress and human rights activist known for her roles in film and television and her advocacy work.
-
A.
Bonalu
Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
-
B.
Badiu
Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
-
C.
Boni
Boni is an Italian surname shared by various notable figures in fields such as archaeology, politics, and the arts.
-
D.
Bariadi
Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
-
E.
Badian
Badian is a coastal municipality in southwestern Cebu, Philippines, known for attractions like Kawasan Falls and canyoneering activities.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5437fb1208190892fa6b05c92478e |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.