Triple

T17692289
Position Surface form Disambiguated ID Type / Status
Subject Lizzy Gardiner E441057 entity
Predicate hasWork P6260 FINISHED
Object The Nugget
The Nugget is an Australian comedy film written by Lizzy Gardiner that follows three working-class friends whose lives are upended when they discover a massive gold nugget.
 E1282163 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: The Nugget | Statement: [Lizzy Gardiner, hasWork, The Nugget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Nugget
Context triple: [Lizzy Gardiner, hasWork, The Nugget]
  • A. The Nugget
    The Nugget is a crossword puzzle created by Australian setter Ken Sallows that became famous for its ingenious hidden message and meta-puzzle structure.
  • 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 nickname for Taunton, Massachusetts, reflecting its historic prominence in the 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 a small unincorporated community located in Dawson County, Georgia, known for its rural character and local historic roots.
  • 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: The Nugget
Triple: [Lizzy Gardiner, hasWork, The Nugget]
Generated description
The Nugget is an Australian comedy film written by Lizzy Gardiner that follows three working-class friends whose lives are upended when they discover a massive gold nugget.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Nugget
Target entity description: The Nugget is an Australian comedy film written by Lizzy Gardiner that follows three working-class friends whose lives are upended when they discover a massive gold nugget.
  • A. The Nugget
    The Nugget is a crossword puzzle created by Australian setter Ken Sallows that became famous for its ingenious hidden message and meta-puzzle structure.
  • 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 nickname for Taunton, Massachusetts, reflecting its historic prominence in the silver manufacturing industry.
  • D. 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.
  • E. Silver City
    Silver City is the popular nickname of Cuttack, a historic and culturally significant city in the Indian state of Odisha.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47153a5c8819095c36fd414167fb1 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022331e1388190b596c7867f1c5b60 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022661afd88190b57c338973571cb7 completed May 11, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a022705b76481909f77bedfb9d5d30d completed May 11, 2026, 6:59 p.m.
Created at: April 10, 2026, 10:03 a.m.