Triple
T29103169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plotinus' circle in Rome |
E736690
|
entity |
| Predicate | hasEditorOfTeachings |
P170413
|
FINISHED |
| Object | Porphyry |
—
|
NE NERFINISHED |
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: Porphyry | Statement: [Plotinus' circle in Rome, hasEditorOfTeachings, Porphyry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEditorOfTeachings Context triple: [Plotinus' circle in Rome, hasEditorOfTeachings, Porphyry]
-
A.
completesTeachingsOf
Indicates that one entity finishes, fulfills, or brings to completion the teachings or doctrinal content associated with another entity.
-
B.
hasViewOnOtherTeachings
Indicates that one entity holds a particular opinion, stance, or perspective regarding the teachings or doctrines of another entity.
-
C.
recordsTeachingsOf
Indicates that one entity documents or preserves the teachings, lessons, or doctrinal content associated with another entity.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
developsTeachingsOf
Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 11:13 a.m.