Triple
T30679840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doherty family |
E781022
|
entity |
| Predicate | typeOfDonor |
P200125
|
FINISHED |
| Object | institutional benefactor |
—
|
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: institutional benefactor | Statement: [Doherty family, typeOfDonor, institutional benefactor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDonor Context triple: [Doherty family, typeOfDonor, institutional benefactor]
-
A.
donorCellSpecies
Indicates the species from which the donor cell in a biological or experimental context originates.
-
B.
donorCellSource
Indicates that one entity serves as the originating or contributing donor cell source for another entity or process.
-
C.
donorOf
Indicates that one entity gives or contributes something (such as resources, organs, or materials) to another entity.
-
D.
transplantType
Indicates the specific kind of transplant procedure or graft relationship that occurred between entities (e.g., organ, tissue, or cell transplant type).
-
E.
donorOfTransplantedHeart
Indicates that one entity is the person who donated a heart that was transplanted into 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
| PDg | Predicate description generation | batch_69ff76ab9b4c8190b4cc7c9c733b2765 |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 29, 2026, 8:32 p.m.