Triple
T25305220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Shaun Murphy |
E634461
|
entity |
| Predicate | residencyProgram |
P160855
|
FINISHED |
| Object | Surgery residency at San Jose St. Bonaventure Hospital |
—
|
NE NERFINISHED |
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: Surgery residency at San Jose St. Bonaventure Hospital | Statement: [Dr. Shaun Murphy, residencyProgram, Surgery residency at San Jose St. Bonaventure Hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residencyProgram Context triple: [Dr. Shaun Murphy, residencyProgram, Surgery residency at San Jose St. Bonaventure Hospital]
-
A.
offersResidencyPrograms
Indicates that an entity provides or makes available formal residency training programs to individuals.
-
B.
completedResidencyAt
Indicates that a person has finished a formal residency training program at a specified institution.
-
C.
residencySystemEstablishedBy
Indicates that a particular residency system was created, instituted, or set up by a specified agent or authority.
-
D.
medicalSchool
Indicates that one entity serves as the medical school where the other entity received medical education or training.
-
E.
coordinatesMedicalEducation
Indicates that one entity organizes, manages, or oversees the medical education activities or programs involving another 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 21, 2026, 1:25 p.m.