Triple
T10506410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginetta Sagan Award |
E247796
|
entity |
| Predicate | typicalAwardAmountCurrency |
P22091
|
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: [Ginetta Sagan Award, typicalAwardAmountCurrency, US dollar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US dollar Context triple: [Ginetta Sagan Award, typicalAwardAmountCurrency, 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 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.
-
C.
Dollar
Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
-
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: typicalAwardAmountCurrency Context triple: [Ginetta Sagan Award, typicalAwardAmountCurrency, US dollar]
-
A.
typicalAwardAmount
chosen
Indicates the usual or most common amount of an award given in this relationship.
-
B.
awardAmount
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
-
C.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
D.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
E.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
- F. None of above.
Provenance (4 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509a07c908190bf0e3e5d480b306d |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90ddbbb3c8190873e8e3c27039b16 |
completed | April 10, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.