Triple
T10292359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENSEMBLE trial |
E241392
|
entity |
| Predicate | masking |
P87611
|
FINISHED |
| Object | participant |
—
|
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: participant | Statement: [ENSEMBLE trial, masking, participant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: masking Context triple: [ENSEMBLE trial, masking, participant]
-
A.
maskColor
Indicates the color attribute associated with a mask.
-
B.
mayMask
Indicates that one entity is permitted or able to conceal, obscure, or hide another entity or its properties.
-
C.
typicalMaskType
Indicates the kind or category of mask that is most commonly or characteristically used or associated with an entity.
-
D.
maskPattern
chosen
Indicates a relationship where one entity serves as a masking template or pattern that determines which parts or aspects of another entity are revealed, hidden, or transformed.
-
E.
maskDesigner
Indicates that one entity is the designer or creator of a particular mask associated with another entity.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d35f048190a215493acdf1f718 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.