Triple
T17764382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filioque controversy |
E443465
|
entity |
| Predicate | concernsPhrase |
P128847
|
FINISHED |
| Object | "and the Son" |
—
|
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: "and the Son" | Statement: [Filioque controversy, concernsPhrase, "and the Son"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsPhrase Context triple: [Filioque controversy, concernsPhrase, "and the Son"]
-
A.
concernsClause
Indicates that one entity (such as a document, statement, or discussion) is about, relates to, or addresses a particular clause.
-
B.
concernsAbbreviation
Indicates that something is about or relates specifically to an abbreviation.
-
C.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
D.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
E.
concernsTitle
Indicates that something is about or relates specifically to a particular title (such as a name, designation, or formal heading).
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fb2a3c81908887d1d36aee942d |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:11 a.m.