Triple
T5146512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Jones University |
E116082
|
entity |
| Predicate | fineArtsReputation |
P49102
|
FINISHED |
| Object | strong emphasis on sacred music and drama |
—
|
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: strong emphasis on sacred music and drama | Statement: [Bob Jones University, fineArtsReputation, strong emphasis on sacred music and drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fineArtsReputation Context triple: [Bob Jones University, fineArtsReputation, strong emphasis on sacred music and drama]
-
A.
hasArtisticReputation
chosen
Indicates that an entity is recognized or regarded for its artistic skill, contribution, or standing.
-
B.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
C.
artCriticReception
Indicates the evaluative response or judgment that art critics give to a particular artwork, artist, or exhibition.
-
D.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
E.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.