Triple
T13819149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisca Hernández |
E332091
|
entity |
| Predicate | religiousOrderOrRole |
P111626
|
FINISHED |
| Object | lay visionary |
—
|
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: lay visionary | Statement: [Francisca Hernández, religiousOrderOrRole, lay visionary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousOrderOrRole Context triple: [Francisca Hernández, religiousOrderOrRole, lay visionary]
-
A.
religiousOrderCode
Indicates the specific religious order or denomination with which an entity is affiliated, represented by a standardized code.
-
B.
religiousOrderAssociation
Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
-
C.
religiousOrderSupported
Indicates that one entity provides support—such as resources, endorsement, or maintenance—to a particular religious order.
-
D.
religiousOrderRelations
Indicates a relationship in which one entity is connected to, affiliated with, or involved in the structure, activities, or authority of a religious order.
-
E.
religiousOrderFeatured
Indicates that a religious order is prominently highlighted, showcased, or given special attention in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0282d4d08190b754cda7683408c4 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:12 p.m.