Triple
T23392149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meditations on Memory |
E594046
|
entity |
| Predicate | treatsMemoryAs |
P152081
|
FINISHED |
| Object | storehouse of images |
—
|
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: storehouse of images | Statement: [Meditations on Memory, treatsMemoryAs, storehouse of images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsMemoryAs Context triple: [Meditations on Memory, treatsMemoryAs, storehouse of images]
-
A.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
B.
builtInMemoryOf
Indicates that something was constructed as a tribute or commemoration to a particular person, group, or event.
-
C.
retainsMemoriesOf
Indicates that one entity continues to hold or preserve memories about another entity or about events involving that entity.
-
D.
treatsSpaceAs
Indicates that one entity regards, handles, or interprets another entity in the same way it would handle or interpret space.
-
E.
memoryStrategy
Indicates the method or approach an entity uses to encode, store, or retrieve information from memory.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:36 p.m.