Triple
T33626105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groote Schuur Hospital |
E861409
|
entity |
| Predicate | hasChiefSurgeonAtTimeOfFirstTransplant |
P196917
|
FINISHED |
| Object | Christiaan Barnard |
—
|
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: Christiaan Barnard | Statement: [Groote Schuur Hospital, hasChiefSurgeonAtTimeOfFirstTransplant, Christiaan Barnard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChiefSurgeonAtTimeOfFirstTransplant Context triple: [Groote Schuur Hospital, hasChiefSurgeonAtTimeOfFirstTransplant, Christiaan Barnard]
-
A.
hasDonorInFirstHeartTransplant
Indicates that an entity served as the donor in the first heart transplant involving another entity.
-
B.
donorOfTransplantedHeart
Indicates that one entity is the person who donated a heart that was transplanted into another entity.
-
C.
preTransplantCondition
Indicates the medical state or health status of an individual prior to undergoing a transplant procedure.
-
D.
wasPioneeredInSurgeryBy
Indicates that a particular surgical technique, procedure, or approach was first developed, introduced, or trailblazed by a specific surgeon or surgical team.
-
E.
receivedBloodTransfusionFrom
Indicates that one entity has been given blood or blood products from another entity through a transfusion procedure.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
| PDg | Predicate description generation | batch_69fe6e4801108190a6be6bec2d52a1b9 |
completed | May 8, 2026, 11:14 p.m. |
Created at: May 1, 2026, 1:41 a.m.