Triple
T10834839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine of Navarre |
E255725
|
entity |
| Predicate | laterReconvertedTo |
P43397
|
FINISHED |
| Object | Roman Catholicism |
—
|
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: Roman Catholicism | Statement: [Antoine of Navarre, laterReconvertedTo, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterReconvertedTo Context triple: [Antoine of Navarre, laterReconvertedTo, Roman Catholicism]
-
A.
reconvertedTo
chosen
Indicates that something has been changed back or restored to a previous state, form, or condition it once had.
-
B.
laterReinterpretedAs
Indicates that something was originally understood or classified one way but was subsequently given a different interpretation or meaning at a later time.
-
C.
laterRepurposedFor
Indicates that something was originally used for one purpose and subsequently assigned a different, new purpose.
-
D.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
-
E.
someConvertedTo
Indicates that a portion of one entity has been transformed or changed into another entity.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d74425447081908fb51c7edf54af67 |
completed | April 9, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.