Triple
T21058302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Krasner Papers |
E518778
|
entity |
| Predicate | informationCarrierType |
P142671
|
FINISHED |
| Object | paper |
—
|
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: paper | Statement: [Lee Krasner Papers, informationCarrierType, paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: informationCarrierType Context triple: [Lee Krasner Papers, informationCarrierType, paper]
-
A.
dataCarried
Indicates that some data is transported, transmitted, or conveyed by a particular medium, channel, or entity.
-
B.
typeOfInformation
Indicates that one entity specifies the category or kind of information that characterizes or describes another entity.
-
C.
informationTypeHandled
Indicates that an entity is responsible for processing, managing, or dealing with a particular type or category of information.
-
D.
ipoType
Indicates the type or category of an entity’s initial public offering (IPO) event.
-
E.
dataTypeTransmitted
Indicates that a specific type or format of data is being sent from one entity to another.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd8236b481908eebfaeeb2aa63e6 |
completed | April 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:37 p.m.