Triple
T28464774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcesilaus |
E720259
|
entity |
| Predicate | roleInAcademy |
P4140
|
FINISHED |
| Object | reoriented the Academy toward skepticism |
—
|
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: reoriented the Academy toward skepticism | Statement: [Arcesilaus, roleInAcademy, reoriented the Academy toward skepticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAcademy Context triple: [Arcesilaus, roleInAcademy, reoriented the Academy toward skepticism]
-
A.
courseRole
Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
-
B.
roleInPearson
Indicates that an entity holds or held a specific role or position within the organization Pearson.
-
C.
roleInClass
Indicates the specific function, position, or responsibility an entity holds within a particular class or group.
-
D.
hasEducationalRole
chosen
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
E.
educationalRoleSince
Indicates the point in time since which an entity has held a particular educational role or position in relation to 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: April 28, 2026, 2:43 a.m.