Triple
T21018113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jafar Panahi |
E517732
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Silver Leopard |
—
|
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: Silver Leopard | Statement: [Jafar Panahi, awardReceived, Silver Leopard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Leopard Context triple: [Jafar Panahi, awardReceived, Silver Leopard]
-
A.
Golden Leopard
chosen
The Golden Leopard is the top prize awarded for the best film at the prestigious Locarno Film Festival in Switzerland.
-
B.
Silver Fox
Silver Fox is a Marvel Comics character, a skilled mutant and former lover of Wolverine who is often depicted as a tragic figure entangled in Weapon X–related conspiracies.
-
C.
Silver Fox
Silver Fox is a golf course known for its challenging layout and scenic surroundings.
-
D.
Bohemian lion
The Bohemian lion is a heraldic symbol featuring a silver, double-tailed lion on a red field, historically representing the Kingdom of Bohemia and its monarchy.
-
E.
Lince
Lince is an urban district and neighborhood in central Lima, Peru, known for its residential areas, commercial activity, and proximity to the city’s historic and financial centers.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5a27f08190b26828a6a7b59f7c |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.