Triple
T23650505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kymriah |
E584153
|
entity |
| Predicate | usesCellType |
P109481
|
FINISHED |
| Object | autologous T lymphocytes |
—
|
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: autologous T lymphocytes | Statement: [Kymriah, usesCellType, autologous T lymphocytes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCellType Context triple: [Kymriah, usesCellType, autologous T lymphocytes]
-
A.
cellTypeUsed
chosen
Indicates that a particular type of cell is employed or utilized in relation to another entity or process.
-
B.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
C.
affectsCellType
Indicates that one entity produces an effect or change on a specific type of cell.
-
D.
expressedInCellType
Indicates that something (such as a gene, protein, or molecule) is expressed or present in a specified cell type.
-
E.
suspectedCell
Indicates that an entity is believed or suspected to be a particular cell or cell type, without confirmed verification.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b357d1108190802bc29e0ed7f097 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.