Triple
T1524625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan David Prize |
E32306
|
entity |
| Predicate | formerMonetaryValue |
P482
|
FINISHED |
| Object | 1000000 US dollars per year |
—
|
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: 1000000 US dollars per year | Statement: [Dan David Prize, formerMonetaryValue, 1000000 US dollars per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMonetaryValue Context triple: [Dan David Prize, formerMonetaryValue, 1000000 US dollars per year]
-
A.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
B.
formerCurrency
Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
-
C.
previousCurrency
Indicates that one currency served as the predecessor or was replaced by another currency in a monetary system or sequence.
-
D.
previousDenomination
Indicates that one entity was the earlier or former denomination (name, value, or classification) of another entity in a sequence of denominations.
-
E.
monetaryComponent
Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.