Triple
T34749798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Philosophy |
E1001736
|
entity |
| Predicate | typicalSupervision |
P205543
|
FINISHED |
| Object | faculty supervisor |
—
|
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: faculty supervisor | Statement: [Master of Philosophy, typicalSupervision, faculty supervisor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSupervision Context triple: [Master of Philosophy, typicalSupervision, faculty supervisor]
-
A.
supervisionOf
Indicates that one entity oversees, directs, or manages the work, behavior, or activities of another entity.
-
B.
supervisionModel
Indicates that one entity oversees, directs, or manages the work, behavior, or performance of another entity.
-
C.
supervisionPrinciple
Indicates that one entity has a supervisory role or authority over another, overseeing and guiding its actions or responsibilities.
-
D.
supervisionMechanism
Indicates that one entity oversees, monitors, or regulates the actions or behavior of another through a defined control or guidance process.
-
E.
supervisionStatus
Indicates the state or condition of oversight or monitoring that one entity has over another or over a process.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 3:59 p.m.