Triple
T29083168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales to Astonish #13 |
E734031
|
entity |
| Predicate | coverPriceCurrency |
P176004
|
FINISHED |
| Object | US cents |
—
|
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: US cents | Statement: [Tales to Astonish #13, coverPriceCurrency, US cents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverPriceCurrency Context triple: [Tales to Astonish #13, coverPriceCurrency, US cents]
-
A.
originalPriceCurrency
Indicates the currency in which an item's original price was specified.
-
B.
primaryListingCurrency
Indicates the currency in which an asset, security, or item is primarily listed or denominated for trading or reference.
-
C.
originalPrice
Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
-
D.
franchiseBasePriceCurrency
Indicates the currency in which the base price of a franchise is denominated.
-
E.
conversionCostCurrency
Indicates the currency in which the cost of a conversion or transformation is denominated.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 28, 2026, 10:57 a.m.