Triple
T11345590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazanin Boniadi |
E268703
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nazanin |
E268703
|
NE FINISHED |
How this triple was built (2 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: Nazanin | Statement: [Nazanin Boniadi, givenName, Nazanin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazanin Context triple: [Nazanin Boniadi, givenName, Nazanin]
-
A.
Nazanin Mandi
Nazanin Mandi is an American model, actress, and singer known for her work in fashion campaigns, television appearances, and music projects.
-
B.
Zahra Kazemi
Zahra Kazemi was an Iranian-Canadian photojournalist whose death in Iranian custody in 2003 drew international condemnation and became a symbol of press repression and human rights abuses in Iran.
-
C.
Nazanin Boniadi
chosen
Nazanin Boniadi is an Iranian-British actress and human rights activist known for her roles in film and television, including prominent work in political thrillers and dramas.
-
D.
Laleh
Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
-
E.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e55649a9188190911608fef5894bd8 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.