Triple
T20607087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beowulf Manuscript |
E506336
|
entity |
| Predicate | associatedWithScholarshipField |
P140741
|
FINISHED |
| Object | medieval studies |
—
|
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: medieval studies | Statement: [Beowulf Manuscript, associatedWithScholarshipField, medieval studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithScholarshipField Context triple: [Beowulf Manuscript, associatedWithScholarshipField, medieval studies]
-
A.
associatedScholarship
Indicates a relationship where a scholarship is linked or connected to a particular entity (such as a person, program, or institution).
-
B.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
-
C.
scholarshipEquivalency
Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
-
D.
hasScholarshipOn
Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
-
E.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad394e8819080185187a8b3de93 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.