Triple
T916895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2 Maccabees |
E19791
|
entity |
| Predicate | canonStatus |
P3927
|
FINISHED |
| Object | deuterocanonical |
—
|
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: deuterocanonical | Statement: [2 Maccabees, canonStatus, deuterocanonical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonStatus Context triple: [2 Maccabees, canonStatus, deuterocanonical]
-
A.
givesCanon
Indicates that one entity provides or establishes an official or authoritative version (canon) of something for another entity or context.
-
B.
usesCanon
Indicates that one entity employs or relies on another entity as its standard, reference, or authoritative source.
-
C.
automationStatus
Indicates whether a process, task, or system is being performed automatically or requires manual intervention.
-
D.
operatingStatus
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
E.
canonicalStatus
chosen
Indicates the formal or official standing of an entity within an established authoritative or normative system.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.