Triple
T34968994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faces |
E1008481
|
entity |
| Predicate | featuresMedicalExperimentation |
P206770
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Faces, featuresMedicalExperimentation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMedicalExperimentation Context triple: [Faces, featuresMedicalExperimentation, true]
-
A.
medicalExperimentsConductedBy
Indicates that medical experiments are performed, overseen, or carried out by a specified agent or organization.
-
B.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
C.
experimentedOnBy
Indicates that an entity has been the subject or object of an experiment conducted by another entity.
-
D.
notableExperiment
Indicates that an entity is recognized for having conducted or been the subject of a particularly important or influential experiment.
-
E.
clinicalTesting
Indicates that an entity is involved in or associated with the process of systematically testing medical interventions, treatments, or procedures in a clinical setting.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.