Triple
T34568964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemours Cardiac Center |
E887567
|
entity |
| Predicate | approachToCare |
P149986
|
FINISHED |
| Object | family-centered care |
—
|
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: family-centered care | Statement: [Nemours Cardiac Center, approachToCare, family-centered care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToCare Context triple: [Nemours Cardiac Center, approachToCare, family-centered care]
-
A.
careApproach
chosen
Indicates the method, strategy, or manner in which care or support is provided to someone or something.
-
B.
focusesOnMedicalCare
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
-
C.
careContinuum
Indicates a relationship in which care or services are provided in a coordinated, continuous manner across different stages, settings, or levels of support.
-
D.
providesComprehensiveCare
Indicates that one entity delivers thorough, wide-ranging support or services addressing multiple needs of another entity.
-
E.
traditionalCareBy
Indicates that one entity receives traditional or culturally rooted care, treatment, or support from another entity.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 1, 2026, 2:02 a.m.