Triple
T21338145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince Colosimo |
E526105
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Nugget |
—
|
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: The Nugget | Statement: [Vince Colosimo, notableWork, The Nugget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Nugget Context triple: [Vince Colosimo, notableWork, 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.
The Nugget
chosen
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.
-
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 a nickname for Taunton, Massachusetts, reflecting its historic prominence in the silver manufacturing industry.
-
E.
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.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898daf02481908c61f00289dc5395 |
completed | April 22, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4:43 p.m.