Triple
T34879845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Washkansky |
E1005981
|
entity |
| Predicate | transplantType |
P199426
|
FINISHED |
| Object | orthotopic heart transplant |
—
|
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: orthotopic heart transplant | Statement: [Louis Washkansky, transplantType, orthotopic heart transplant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transplantType Context triple: [Louis Washkansky, transplantType, orthotopic heart transplant]
-
A.
plantationType
Indicates the specific kind or category of plantation associated with an entity (e.g., agricultural, forestry, or other plantation types).
-
B.
donorOfTransplantedHeart
Indicates that one entity is the person who donated a heart that was transplanted into another entity.
-
C.
donorCellSpecies
Indicates the species from which the donor cell in a biological or experimental context originates.
-
D.
brainTransplantedFrom
Indicates that an entity’s brain originated in and was transplanted from another entity.
-
E.
preTransplantCondition
Indicates the medical state or health status of an individual prior to undergoing a transplant 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
| PDg | Predicate description generation | batch_69ff38b8843c819097359a4d77e9d442 |
completed | May 9, 2026, 1:38 p.m. |
Created at: May 3, 2026, 4 p.m.