Triple

T12772357
Position Surface form Disambiguated ID Type / Status
Subject Michael Murphy E305275 entity
Predicate notableWork P4 FINISHED
Object Silver City
Silver City is a political thriller film written and directed by John Sayles, featuring Michael Murphy in a notable role.
 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: [Michael Murphy, notableWork, Silver City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silver City
Context triple: [Michael Murphy, notableWork, Silver City]
  • A. Silver City
    Silver City is the radiant celestial metropolis at the heart of the High Heavens in the Diablo universe, serving as the seat of angelic power and order.
  • B. Silver City
    Silver City is the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
  • C. 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.
  • D. Silver City
    Silver City is the popular nickname of Cuttack, a historic and culturally significant city in the Indian state of Odisha.
  • E. Silver City
    Silver City is a nickname for Taunton, Massachusetts, reflecting its historic prominence in the silver manufacturing industry.
  • 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: [Michael Murphy, notableWork, Silver City]
Generated description
Silver City is a political thriller film written and directed by John Sayles, featuring Michael Murphy in a notable role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silver City
Target entity description: Silver City is a political thriller film written and directed by John Sayles, featuring Michael Murphy in a notable role.
  • A. Silver City
    Silver City is a small unincorporated community located in Dawson County, Georgia, known for its rural character and local historic roots.
  • 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 the nickname of Meriden, Connecticut, historically known for its prominent silver manufacturing industry.
  • D. Silver City
    Silver City is the popular nickname of Cuttack, a historic and culturally significant city in the Indian state of Odisha.
  • E. Silver City
    Silver City is the radiant celestial metropolis at the heart of the High Heavens in the Diablo universe, serving as the seat of angelic power and order.
  • F. None of above. chosen

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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fcd4b48190ab610efffcbd1546 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f689e108cc819097bacb28f6bd9a9b completed May 2, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69f68adcfabc8190a85624e2f1b0bafb completed May 2, 2026, 11:38 p.m.
Created at: April 9, 2026, 5:28 p.m.