Triple
T2596545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Union University |
E58244
|
entity |
| Predicate | sportsTeamName |
P330
|
FINISHED |
| Object |
Panthers
The Panthers are the athletic teams representing Virginia Union University in collegiate sports.
|
E281844
|
NE FINISHED |
How this triple was built (4 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: Panthers | Statement: [Virginia Union University, sportsTeamName, Panthers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panthers Context triple: [Virginia Union University, sportsTeamName, Panthers]
-
A.
Panthers
Panthers are large, powerful wild cats—often referring to melanistic leopards or jaguars—commonly used as athletic mascots to symbolize strength, agility, and stealth.
-
B.
Panthers
The Panthers are the athletic teams representing Ohio Dominican University in collegiate sports competitions.
-
C.
Panthers
The Panthers are the athletic teams representing Florida International University in collegiate sports competitions.
-
D.
Panthers
The Panthers are the athletic teams representing High Point University in collegiate sports competitions.
-
E.
Panthers
The Panthers are the athletic teams representing LaGrange College in intercollegiate sports.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Panthers Triple: [Virginia Union University, sportsTeamName, Panthers]
Generated description
The Panthers are the athletic teams representing Virginia Union University in collegiate sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panthers Target entity description: The Panthers are the athletic teams representing Virginia Union University in collegiate sports.
-
A.
Panthers
The Panthers are the athletic teams representing High Point University in collegiate sports competitions.
-
B.
Panthers
The Panthers are the athletic teams representing Clark Atlanta University in collegiate sports.
-
C.
Panthers
The Panthers are the athletic teams representing Florida International University in collegiate sports competitions.
-
D.
Panthers
The Panthers are the athletic teams representing Ohio Dominican University in collegiate sports competitions.
-
E.
Panthers
The Panthers are the athletic teams representing LaGrange College in intercollegiate sports.
- F. None of above. chosen
Provenance (5 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83c798088190944e7d754aa9aa06 |
completed | March 10, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69af84a08ffc8190b113d07f3d322d0c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85a052448190898ee1a2f8368122 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.