Triple
T30650606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Not You |
E780244
|
entity |
| Predicate | caregiverRelationship |
P52456
|
FINISHED |
| Object | unexpected bond between patient and caregiver |
—
|
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: unexpected bond between patient and caregiver | Statement: [You're Not You, caregiverRelationship, unexpected bond between patient and caregiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caregiverRelationship Context triple: [You're Not You, caregiverRelationship, unexpected bond between patient and caregiver]
-
A.
caregiverOf
chosen
Indicates a relationship where one entity provides ongoing care, support, or supervision for another entity’s well-being.
-
B.
relationshipToParents
Indicates the type or nature of a person's familial relationship to their parents.
-
C.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
D.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
-
E.
ageRelation
Indicates a relationship that specifies or compares the ages of entities, such as one being older, younger, or of the same age as another.
- F. None of above.
Provenance (3 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a975e1c81909d7424ae7af3410b |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:30 p.m.