Triple
T9925189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untitled (1982) |
E187902
|
entity |
| Predicate | previousSalePrice |
P91165
|
FINISHED |
| Object | 19000 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: 19000 USD | Statement: [Untitled (1982), previousSalePrice, 19000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousSalePrice Context triple: [Untitled (1982), previousSalePrice, 19000 USD]
-
A.
purchasePrice
Indicates the monetary amount paid or agreed to be paid to acquire something in a purchase transaction.
-
B.
salePriceApproximate
Indicates that the recorded sale price is an estimated or approximate value rather than an exact amount.
-
C.
originalPrice
Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
-
D.
acquisitionPrice
Indicates the monetary amount paid to acquire an asset, company, or item in a transaction.
-
E.
auctionPriceUSD
Indicates the monetary amount, expressed in U.S. dollars, for which an item was sold or is offered in an auction.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb598651081908286763ff56ba57c |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:43 p.m.