Triple
T1664259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dora Maar au Chat |
E35974
|
entity |
| Predicate | recordSale |
P30526
|
FINISHED |
| Object | one of the most expensive paintings ever sold at auction |
—
|
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: one of the most expensive paintings ever sold at auction | Statement: [Dora Maar au Chat, recordSale, one of the most expensive paintings ever sold at auction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordSale Context triple: [Dora Maar au Chat, recordSale, one of the most expensive paintings ever sold at auction]
-
A.
soldProperty
Indicates that one entity transferred ownership of a property to another entity in exchange for payment.
-
B.
attemptedSaleTo
Indicates that one entity tried, but did not necessarily succeed, to sell something to another entity.
-
C.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
D.
soldAs
Indicates that one entity is marketed, offered, or presented to others under the name, form, or role of another entity.
-
E.
salesMilestone
Indicates that a specific sales target or threshold has been reached or surpassed.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94192abc0819092fc00fef9d53bcb |
completed | March 5, 2026, 8:40 a.m. |
Created at: March 4, 2026, 7:29 p.m.