Triple
T28940769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juana Maria |
E730441
|
entity |
| Predicate | religionAtDeath |
P56366
|
FINISHED |
| Object | Roman Catholicism |
—
|
NE NERFINISHED |
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: [Juana Maria, religionAtDeath, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionAtDeath Context triple: [Juana Maria, religionAtDeath, Roman Catholicism]
-
A.
funeraryBelief
Indicates a belief or doctrine concerning death, the afterlife, or practices and meanings associated with funerary rites.
-
B.
culturalAfterlife
Indicates the continued influence, presence, or reinterpretation of something within a culture after its original context, period, or creator has ended.
-
C.
namedAfterReligion
Indicates that an entity’s name is derived from or inspired by a particular religion or religious tradition.
-
D.
religionOrBelief
chosen
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
-
E.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 28, 2026, 8:36 a.m.