Triple
T13050701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GospelOfHebrews |
E327439
|
entity |
| Predicate | scholarlyDebateTopic |
P57563
|
FINISHED |
| Object | original language |
—
|
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: original language | Statement: [GospelOfHebrews, scholarlyDebateTopic, original language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyDebateTopic Context triple: [GospelOfHebrews, scholarlyDebateTopic, original language]
-
A.
inAcademicDebate
Indicates that one entity is engaged in a formal, scholarly argument or discussion with another entity, typically following academic norms and methods of reasoning.
-
B.
debateTopic
chosen
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
-
C.
fieldOfDebate
Indicates that something is the subject or domain around which a debate or argumentative discussion is centered.
-
D.
mainDebateTopic
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
-
E.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.