Triple
T13316302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly the sheep |
E317196
|
entity |
| Predicate | donorCellSource |
P109482
|
FINISHED |
| Object | mammary gland cell |
—
|
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: mammary gland cell | Statement: [Dolly the sheep, donorCellSource, mammary gland cell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: donorCellSource Context triple: [Dolly the sheep, donorCellSource, mammary gland cell]
-
A.
donorOfTransplantedHeart
Indicates that one entity is the person who donated a heart that was transplanted into another entity.
-
B.
isDonorProgramOf
Indicates that one entity is a donor program that provides funding or resources to support another entity.
-
C.
bloodProduced
Indicates that one entity generates or produces blood for another entity or as a result of a process.
-
D.
cryopreservedBy
Indicates that an entity has been preserved at very low temperatures by a specified agent or process.
-
E.
brainTransplantedFrom
Indicates that an entity’s brain originated in and was transplanted from 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.