Triple
T37023660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Causa nostrae laetitiae |
E916288
|
entity |
| Predicate | roleOfMaryExpressed |
P188541
|
FINISHED |
| Object | mediator of grace |
—
|
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: mediator of grace | Statement: [Causa nostrae laetitiae, roleOfMaryExpressed, mediator of grace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfMaryExpressed Context triple: [Causa nostrae laetitiae, roleOfMaryExpressed, mediator of grace]
-
A.
emphasizesRoleOfMaryAs
chosen
Indicates that something highlights or underscores Mary’s function, status, or identity in a particular role.
-
B.
roleInMotherLoveBone
Indicates that an entity holds a specific role or position within the band Mother Love Bone.
-
C.
motherRole
Indicates that one entity holds the role or function of a mother in relation to another entity.
-
D.
voiceTypeOfMary
Indicates the specific vocal classification or type that characterizes Mary’s voice.
-
E.
relationshipToMary
Indicates that one entity stands in a specified personal or social relationship to Mary.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:14 p.m.