Triple
T9012645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brilliant Lady |
E215511
|
entity |
| Predicate | currencyOnboard |
P85722
|
FINISHED |
| Object | US dollar |
E105
|
NE FINISHED |
How this triple was built (3 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: US dollar | Statement: [Brilliant Lady, currencyOnboard, US dollar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US dollar Context triple: [Brilliant Lady, currencyOnboard, US dollar]
-
A.
US dollar
chosen
The US dollar is the official currency of the United States and the world’s primary reserve currency used widely in global trade and finance.
-
B.
Dollar
Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
-
C.
Dollar
Dollar was a British pop duo, formed by David Van Day and Thereza Bazar, known for their catchy synth-pop hits in the late 1970s and early 1980s.
-
D.
USD
USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
-
E.
USD
USD is a public research university located in Vermillion, South Dakota, known for its programs in law, medicine, and business.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOnboard Context triple: [Brilliant Lady, currencyOnboard, US dollar]
-
A.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
-
B.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
C.
currencyPlanned
Indicates that a specific currency is intended or scheduled to be used in a planned transaction, budget, or financial arrangement.
-
D.
currencySignAdopted
Indicates that a particular currency sign has been officially adopted for use with a given currency or monetary system.
-
E.
currencyModel
Indicates that something uses, is based on, or conforms to a particular system or model of currency (e.g., monetary structure, denomination scheme, or valuation framework).
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f96980819093bfc49d48570c65 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba11a6481909cac624530a77ffe |
completed | April 3, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:06 p.m.