Triple
T2044302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guido de Brès |
E45414
|
entity |
| Predicate | confessionYear |
P36012
|
FINISHED |
| Object | 1561 |
—
|
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: 1561 | Statement: [Guido de Brès, confessionYear, 1561]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confessionYear Context triple: [Guido de Brès, confessionYear, 1561]
-
A.
convictionYear
Indicates the calendar year in which an entity was formally convicted of an offense.
-
B.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
C.
madePublicConfessionAt
Indicates that an entity openly admitted or confessed something in a public setting at a specific time or place.
-
D.
confession
Indicates that one entity admits or discloses information, typically acknowledging guilt, responsibility, or a hidden truth, to another entity.
-
E.
recordingYear
Indicates the specific calendar year in which something (such as audio, video, or data) was recorded.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.