Triple
T4798347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Knights |
E106769
|
entity |
| Predicate | usesNameSince |
P59337
|
FINISHED |
| Object | Calvin University name adopted in 2019 |
—
|
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: Calvin University name adopted in 2019 | Statement: [Calvin Knights, usesNameSince, Calvin University name adopted in 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNameSince Context triple: [Calvin Knights, usesNameSince, Calvin University name adopted in 2019]
-
A.
namedAfterSince
Indicates that one entity has borne the name of another entity starting from a specific point in time.
-
B.
usedAsNicknameSince
Indicates that one entity has been used as a nickname for another entity starting from a specified point in time.
-
C.
usedAfterNameOf
Indicates that something is used immediately following the mention or specification of a name.
-
D.
hasGivenNameUsage
Indicates that an entity is associated with a particular way or context in which its given name is used.
-
E.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6b3fb598819084a83d2b765a62b0 |
completed | March 20, 2026, 3:43 p.m. |
Created at: March 20, 2026, 1:22 p.m.