Triple
T23036320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Edward Manning |
E573603
|
entity |
| Predicate | convertedToCatholicism |
P116353
|
FINISHED |
| Object | 1851 |
—
|
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: 1851 | Statement: [Henry Edward Manning, convertedToCatholicism, 1851]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToCatholicism Context triple: [Henry Edward Manning, convertedToCatholicism, 1851]
-
A.
convertedToReligion
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
B.
yearOfReceptionIntoCatholicChurch
chosen
Indicates the calendar year in which an entity was formally received into the Catholic Church.
-
C.
convertedToIslamWith
Indicates that one entity adopted Islam through the influence, guidance, or involvement of another entity.
-
D.
religiousConversionPeriod
Indicates the time span during which an entity undergoes or is involved in a process of religious conversion.
-
E.
convertedToCathedral
Indicates that a building or structure has been transformed or repurposed into a cathedral.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850fe5348190b42259595d82cff4 |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.