Triple
T7178726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Valley University |
E167387
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Wolverines
Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
|
E647785
|
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: Wolverines | Statement: [Utah Valley University, hasNickname, Wolverines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolverines Context triple: [Utah Valley University, hasNickname, Wolverines]
-
A.
Wolverines
Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
-
B.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
-
C.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
D.
Nanooks
Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
-
E.
Wolf
Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
- 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: Wolverines Triple: [Utah Valley University, hasNickname, Wolverines]
Generated description
Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolverines Target entity description: Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
-
A.
Wolverines
Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
-
B.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
-
C.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
D.
Nanooks
Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
-
E.
Wolf
Wolf is a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b8241081908edb5b5a5c35d4d3 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7bcfaf8608190908c5b58ecdf9aff |
completed | March 28, 2026, 11:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7bd68f4688190aa8ac988d2435bb7 |
completed | March 28, 2026, 11:37 a.m. |
Created at: March 27, 2026, 2:49 p.m.