Triple
T28301749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella |
E713726
|
entity |
| Predicate | modeOfDevotion |
P21326
|
FINISHED |
| Object | macabre devotion to murdered lover |
—
|
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: macabre devotion to murdered lover | Statement: [Isabella, modeOfDevotion, macabre devotion to murdered lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfDevotion Context triple: [Isabella, modeOfDevotion, macabre devotion to murdered lover]
-
A.
devotionPracticedBy
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
-
B.
evidenceOfDevotion
Indicates that one entity serves as proof or demonstration of another entity’s devotion or commitment.
-
C.
associatedDevotion
chosen
Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
-
D.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
E.
isDevotional
Indicates that something is intended for or characterized by religious worship, reverence, or spiritual devotion.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644b2eba4819093973b8eeb3ed63d |
completed | May 2, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:35 p.m.