Triple
T11274270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cause of our joy |
E266891
|
entity |
| Predicate | refersToRoleAs |
P4342
|
FINISHED |
| Object | source of spiritual joy |
—
|
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: source of spiritual joy | Statement: [Cause of our joy, refersToRoleAs, source of spiritual joy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToRoleAs Context triple: [Cause of our joy, refersToRoleAs, source of spiritual joy]
-
A.
refersToRole
chosen
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
B.
reflectsRoleAs
Indicates that one entity expresses, represents, or makes evident the role, function, or position held by another entity.
-
C.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
D.
acknowledgesRoleOf
Indicates that one entity explicitly recognizes and accepts the position, function, or authority that another entity holds.
-
E.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.