Triple
T21146776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedieh Tehrani |
E521076
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hedieh Tehrani |
—
|
NE NERFINISHED |
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: Hedieh Tehrani | Statement: [Hedieh Tehrani, name, Hedieh Tehrani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedieh Tehrani Context triple: [Hedieh Tehrani, name, Hedieh Tehrani]
-
A.
Hedieh Tehrani
chosen
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
B.
Marzieh Meshkini
Marzieh Meshkini is an Iranian film director and screenwriter known for her socially conscious, visually poetic works within contemporary Iranian cinema.
-
C.
Sussan Tahmasebi
Sussan Tahmasebi is an Iranian women's rights activist and civil society leader known for her advocacy against discriminatory laws and her role in grassroots reform movements.
-
D.
Sareh Bayat
Sareh Bayat is an Iranian actress best known internationally for her acclaimed role in the Oscar-winning film "A Separation."
-
E.
Parvin Ardalan
Parvin Ardalan is an Iranian feminist writer and human rights activist known for her leading role in Iran’s women’s rights movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fdc25481909d6648e09b069c41 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.