Triple
T17912132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-American Comics #16 |
E447839
|
entity |
| Predicate | originalPriceCurrency |
P129290
|
FINISHED |
| Object | USD |
—
|
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: USD | Statement: [All-American Comics #16, originalPriceCurrency, USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPriceCurrency Context triple: [All-American Comics #16, originalPriceCurrency, USD]
-
A.
originalPrice
Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
-
B.
primaryListingCurrency
Indicates the currency in which an asset, security, or item is primarily listed or denominated for trading or reference.
-
C.
originalPriceModel
Indicates the pricing relationship that specifies an item's initial or base price before any discounts, adjustments, or dynamic pricing are applied.
-
D.
originalRate
Indicates the initial or base rate associated with something before any changes, adjustments, or discounts are applied.
-
E.
previousCurrency
Indicates that one currency served as the predecessor or was replaced by another currency in a monetary system or sequence.
- F. None of above. chosen
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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea0ea008190b54a999e0704fb67 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.