Triple
T23154050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Cunningham |
E578393
|
entity |
| Predicate | medicalEventDate |
P111853
|
FINISHED |
| Object | 2016-11-19 |
—
|
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: 2016-11-19 | Statement: [Craig Cunningham, medicalEventDate, 2016-11-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalEventDate Context triple: [Craig Cunningham, medicalEventDate, 2016-11-19]
-
A.
medicalEvent
Indicates that a specific health-related occurrence or clinical incident has taken place involving one or more entities.
-
B.
diagnosisDate
Indicates the date on which a diagnosis was formally established or recorded for an entity.
-
C.
sufferedEventDate
chosen
Indicates the specific date on which an entity experienced or was affected by a particular event.
-
D.
administeredOn
Indicates that an action, treatment, or procedure was carried out on a specific date or time.
-
E.
dateOfAdministration
Indicates the specific date on which a particular treatment, medication, or intervention was administered.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efbe9a08190bcb6e822b8eab544 |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.