Triple
T5962701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregory Akindynos |
E132676
|
entity |
| Predicate | movementOpposed |
P437
|
FINISHED |
| Object | hesychasm |
—
|
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: hesychasm | Statement: [Gregory Akindynos, movementOpposed, hesychasm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementOpposed Context triple: [Gregory Akindynos, movementOpposed, hesychasm]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
oppositionMovement
Indicates a relationship where a group or entity actively resists, challenges, or seeks to change an existing authority, policy, regime, or dominant force.
-
C.
opposedConference
Indicates that one entity actively resists, counters, or works against another entity within the context of a conference or formal gathering.
-
D.
opposedConversionOf
Indicates that one entity actively resisted, objected to, or worked against the process of converting or changing another entity.
-
E.
emergedInOppositionTo
Indicates that one entity came into existence or gained prominence specifically as a reaction or counter-movement against 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:03 p.m.