Triple
T22977417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Everdeen |
E571363
|
entity |
| Predicate | memoryAffects |
P150469
|
FINISHED |
| Object | Mrs. Everdeen’s mental health |
—
|
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: Mrs. Everdeen’s mental health | Statement: [Mr. Everdeen, memoryAffects, Mrs. Everdeen’s mental health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryAffects Context triple: [Mr. Everdeen, memoryAffects, Mrs. Everdeen’s mental health]
-
A.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
-
B.
memoryDeficit
Indicates a relationship where an entity exhibits an impairment or reduction in its ability to store, retain, or recall information.
-
C.
память
Indicates a relationship where an entity retains, recalls, or is associated with stored information, experiences, or data.
-
D.
memoryState
Indicates the condition or configuration of an entity’s stored information at a particular point in time.
-
E.
retainsMemoriesOf
Indicates that one entity continues to hold or preserve memories about another entity or about events involving that entity.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:48 p.m.