Triple
T16139364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Whitmore |
E391611
|
entity |
| Predicate | memoryResets |
P121255
|
FINISHED |
| Object | every day |
—
|
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: every day | Statement: [Lucy Whitmore, memoryResets, every day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryResets Context triple: [Lucy Whitmore, memoryResets, every day]
-
A.
memoryState
Indicates the condition or configuration of an entity’s stored information at a particular point in time.
-
B.
memoryPreservedBy
Indicates that a memory or information is maintained, retained, or kept intact through the action, mechanism, or influence of the associated entity.
-
C.
hasMemoryBlackouts
Indicates that an entity experiences episodes of lost or impaired memory for certain periods or events.
-
D.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
E.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a06e0988190b5cd62d422d058a2 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.