Triple
T21743540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sayles |
E536724
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Silver City |
—
|
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 City | Statement: [John Sayles, wroteScreenplayFor, Silver City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver City Context triple: [John Sayles, wroteScreenplayFor, Silver City]
-
A.
Silver City
Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
-
B.
Silver City
Silver City is a common nickname for Aberdeen, a major port city in northeast Scotland known historically for its distinctive gray granite architecture.
-
C.
Silver City
Silver City is the popular nickname of Cuttack, a historic and culturally significant city in the Indian state of Odisha.
-
D.
Silver City
chosen
Silver City is a political thriller film written and directed by John Sayles, featuring Michael Murphy in a notable role.
-
E.
Silver City
Silver City is a historic mining town in southwestern New Mexico known for its Old West heritage, vibrant arts community, and proximity to the Gila National Forest.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a74592c8190959af631d72df479 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.