Triple
T20991256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noetianism |
E517027
|
entity |
| Predicate | influenceOnDebates |
P9239
|
FINISHED |
| Object | contributed to early Trinitarian controversies |
—
|
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: contributed to early Trinitarian controversies | Statement: [Noetianism, influenceOnDebates, contributed to early Trinitarian controversies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influenceOnDebates Context triple: [Noetianism, influenceOnDebates, contributed to early Trinitarian controversies]
-
A.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
B.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
C.
inspiredPolicyDebate
Indicates that one entity’s ideas, actions, or statements sparked or significantly influenced a policy debate involving another entity.
-
D.
majorDebateWith
Indicates a significant, often public or formal, debate or dispute occurring between two entities.
-
E.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1ba3d0819080d9d03817a45026 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.