Triple
T19832769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plutus |
E476503
|
entity |
| Predicate | alternativeTitle |
P39
|
FINISHED |
| Object | Wealth |
—
|
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: Wealth | Statement: [Plutus, alternativeTitle, Wealth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wealth Context triple: [Plutus, alternativeTitle, Wealth]
-
A.
Wealth
chosen
Wealth is the abundance of valuable resources, assets, or money that enables individuals or societies to secure comfort, influence, and economic power.
-
B.
Wealth and Welfare
Wealth and Welfare is a foundational economics book by Arthur Cecil Pigou that develops the theory of welfare economics and examines how government intervention can improve social well-being.
-
C.
Prosperity
Prosperity is a 1932 American comedy film starring Marie Dressler and Polly Moran, known for its humorous take on financial hardship during the Great Depression.
-
D.
Prosperity
Prosperity is an Irish television drama series in which Laurence Kinlan played a significant role.
-
E.
Prosperity
Prosperity is a small unincorporated community located in Raleigh County, West Virginia, United States.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.