Triple
T34568947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemours Cardiac Center |
E887567
|
entity |
| Predicate | employsSpecialistType |
P39849
|
FINISHED |
| Object | pediatric cardiologist |
—
|
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: pediatric cardiologist | Statement: [Nemours Cardiac Center, employsSpecialistType, pediatric cardiologist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsSpecialistType Context triple: [Nemours Cardiac Center, employsSpecialistType, pediatric cardiologist]
-
A.
hasSpecialist
chosen
Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
-
B.
hasSpecialistStatus
Indicates that an entity holds a recognized specialist designation or status in a particular field, role, or context.
-
C.
roleTypeSpecialization
Indicates that one role type is a more specific or specialized version of another, more general role type.
-
D.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
-
E.
hasSpecialty
Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
- 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_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 1, 2026, 2:02 a.m.