Triple
T21737987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Daly |
E536575
|
entity |
| Predicate | treatsDigitalClones |
P145174
|
FINISHED |
| Object | slaves |
—
|
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: slaves | Statement: [Robert Daly, treatsDigitalClones, slaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsDigitalClones Context triple: [Robert Daly, treatsDigitalClones, slaves]
-
A.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
B.
treatsSystem
Indicates that one entity provides medical or remedial care or intervention to a system (such as a bodily system, technical system, or organizational system) to address problems, maintain function, or improve its condition.
-
C.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
D.
treatsHumansAs
Indicates how one entity regards or behaves toward humans, characterizing them in a particular way (e.g., as equals, tools, resources, or threats).
-
E.
treatsRightAs
Indicates that one entity provides medical or therapeutic treatment to another entity who is identified as the right-hand participant in the relationship.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0d33dc81908a4a79abc33355d1 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:49 p.m.