Triple

T21743508
Position Surface form Disambiguated ID Type / Status
Subject John Sayles E536724 entity
Predicate notableWork P4 FINISHED
Object Silver City
Silver City is a 2004 political satire film written and directed by John Sayles that critiques American politics and corporate influence through a mystery set in Colorado.
 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: [John Sayles, notableWork, Silver City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silver City
Context triple: [John Sayles, 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: [John Sayles, notableWork, Silver City]
Generated description
Silver City is a 2004 political satire film written and directed by John Sayles that critiques American politics and corporate influence through a mystery set in Colorado.
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 written and directed by John Sayles that critiques American politics and corporate influence through a mystery set in Colorado.
  • 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 mining camp in Utah’s Tintic Mining District that developed during the late 19th-century silver and ore boom.
  • D. Silver City
    Silver City is a historic Nevada mining town known for its role in the Comstock Lode silver boom of the 19th century.
  • E. Silver City
    Silver City is a small unincorporated community located in Dawson County, Georgia, known for its rural character and local historic roots.
  • 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_6a0a2eda02b88190900bae24fa93a504 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a301970b8819091b2c48289eee8fd completed May 17, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0a308ca2648190a365ea141a5335bb completed May 17, 2026, 9:18 p.m.
Created at: April 16, 2026, 6:49 p.m.