Triple
T25920561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Serapion |
E653156
|
entity |
| Predicate | depictsReligiousOrder |
P103060
|
FINISHED |
| Object | Mercedarians |
—
|
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: Mercedarians | Statement: [Saint Serapion, depictsReligiousOrder, Mercedarians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsReligiousOrder Context triple: [Saint Serapion, depictsReligiousOrder, Mercedarians]
-
A.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
B.
religiousOrderFeatured
chosen
Indicates that a religious order is prominently highlighted, showcased, or given special attention in relation to another entity or context.
-
C.
religiousOrderBranchOf
Indicates that one religious order or congregation is an official subdivision, branch, or offshoot of another religious order.
-
D.
inspiredReligiousOrder
Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
-
E.
religiousOrderAssociation
Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 22, 2026, 8:32 a.m.