Triple
T20760054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Susan B. Anthony |
E510953
|
entity |
| Predicate | fineAmount |
P20767
|
FINISHED |
| Object | 100 US dollars |
—
|
LITERAL FINISHED |
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: 100 US dollars | Statement: [United States v. Susan B. Anthony, fineAmount, 100 US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fineAmount Context triple: [United States v. Susan B. Anthony, fineAmount, 100 US dollars]
-
A.
fine
chosen
Indicates that an authority imposes a monetary penalty on an entity for violating a rule, law, or agreement.
-
B.
feeUnit
Indicates the unit of measurement or currency in which a fee amount is expressed.
-
C.
minorDenomination
Indicates that one entity is a smaller or subordinate unit of currency or value in relation to another entity.
-
D.
valueInCents
Indicates that one entity specifies the monetary value of another entity expressed in cents.
-
E.
finType
Indicates that an entity is of a finite type, meaning it has only a finite number of distinct possible values or elements.
- F. None of above.
Provenance (3 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24751688190829f9d836abfb606 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:35 p.m.