Triple
T21743633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Daring |
E536727
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Silver City
Silver City is a 2004 political satire film directed by John Sayles, featuring a score by composer Mason Daring.
|
E1002998
|
NE FINISHED |
How this triple was built (4 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: [Mason Daring, notableWork, Silver City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver City Context triple: [Mason Daring, notableWork, 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 historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
-
C.
Silver City
Silver City is a nickname for Taunton, Massachusetts, reflecting its historic prominence in the silver manufacturing industry.
-
D.
Silver City
Silver City is a small unincorporated community located in Dawson County, Georgia, known for its rural character and local historic roots.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Silver City Triple: [Mason Daring, notableWork, Silver City]
Generated description
Silver City is a 2004 political satire film directed by John Sayles, featuring a score by composer Mason Daring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver City Target entity description: Silver City is a 2004 political satire film directed by John Sayles, featuring a score by composer Mason Daring.
-
A.
Silver City
chosen
Silver City is a political thriller film written and directed by John Sayles, featuring Michael Murphy in a notable role.
-
B.
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.
-
C.
Silver City
Silver City is a historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
-
D.
Silver City
Silver City is a small unincorporated community located in Dawson County, Georgia, known for its rural character and local historic roots.
-
E.
Silver City
Silver City is a historic mining camp in Utah’s Tintic Mining District that developed during the late 19th-century silver and ore boom.
- F. None of above.
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45d113f48190b5505087e3ba5360 |
completed | May 17, 2026, 10:48 p.m. |
| NEDg | Description generation | batch_6a0a46918cf481909febedccbe14658c |
completed | May 17, 2026, 10:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a472d34d08190a25ba431e24e8316 |
completed | May 17, 2026, 10:54 p.m. |
Created at: April 16, 2026, 6:49 p.m.