Triple
T22838491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Words and Pictures |
E566010
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Navid Negahban |
—
|
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: Navid Negahban | Statement: [Words and Pictures, starring, Navid Negahban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navid Negahban Context triple: [Words and Pictures, starring, Navid Negahban]
-
A.
Navid Negahban
chosen
Navid Negahban is an Iranian-American actor known for his roles in film and television, including prominent performances in series like "Homeland" and various Hollywood productions.
-
B.
Hossein Mahjoub
Hossein Mahjoub is an Iranian actor best known internationally for his role in Majid Majidi’s acclaimed film "The Color of Paradise."
-
C.
Hossein Jafarian
Hossein Jafarian is an acclaimed Iranian cinematographer known for his collaborations with prominent directors such as Asghar Farhadi.
-
D.
Behzad Dorani
Behzad Dorani is an Iranian actor best known for his leading role in Abbas Kiarostami’s acclaimed film "The Wind Will Carry Us."
-
E.
Ali Soheili
Ali Soheili was an Iranian politician who served as prime minister during the early 1940s, a turbulent period marked by World War II and foreign occupation of Iran.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.