Triple
T28166399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the One-Armed Lady |
E715336
|
entity |
| Predicate | refersToReligiousDenomination |
P55765
|
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: [the One-Armed Lady, refersToReligiousDenomination, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToReligiousDenomination Context triple: [the One-Armed Lady, refersToReligiousDenomination, Roman Catholicism]
-
A.
mayBelongToDenomination
Indicates that an entity is possibly, but not certainly, affiliated with or a member of a particular denomination.
-
B.
religiousBranchOf
Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
-
C.
religiousGroupMentioned
chosen
Indicates that a religious group is referenced or mentioned in the given context or statement.
-
D.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
E.
hasReligiousAffiliationInName
Indicates that an entity’s name explicitly includes or reflects a religious affiliation or association.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 27, 2026, 10:10 p.m.