Triple
T34798908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Commonwealth University Athletics Department |
E1003162
|
entity |
| Predicate | mascotManaged |
P33791
|
FINISHED |
| Object | Rodney the Ram |
—
|
NE NERFINISHED |
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: Rodney the Ram | Statement: [Virginia Commonwealth University Athletics Department, mascotManaged, Rodney the Ram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mascotManaged Context triple: [Virginia Commonwealth University Athletics Department, mascotManaged, Rodney the Ram]
-
A.
mascotStatus
Indicates the role or designation of an entity as a mascot, such as whether and how it serves as a symbolic representative.
-
B.
mascotExample
Indicates that one entity serves as a representative mascot or illustrative example of another entity.
-
C.
isMascot
chosen
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
-
D.
coMascot
Indicates that two entities serve together as mascots for the same organization, event, or group.
-
E.
mascotPresent
Indicates that a mascot is present or participating in the specified context or event.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a8724148190bae307c1b5de1354 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.