Triple
T20932182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Salesman |
E515496
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Hayedeh Safiyari |
—
|
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: Hayedeh Safiyari | Statement: [The Salesman, editedBy, Hayedeh Safiyari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayedeh Safiyari Context triple: [The Salesman, editedBy, Hayedeh Safiyari]
-
A.
Hayedeh Safiyari
chosen
Hayedeh Safiyari is an Iranian film editor best known for her work on acclaimed films such as the Oscar-winning drama "A Separation."
-
B.
Malakeh Madar
Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
-
C.
Golshifteh Farahani
Golshifteh Farahani is an Iranian-born actress and musician known for her acclaimed performances in international cinema, including both Iranian art films and major Hollywood productions.
-
D.
Gheymeh Nesar
Gheymeh Nesar is a traditional Qazvin-style Persian stew, typically made with diced meat, rice, barberries, nuts, and aromatic spices, often served on special occasions.
-
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 (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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.