Triple
T19203104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lourdes University |
E480157
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Gray Wolves
The Gray Wolves are the athletic teams and mascot identity representing Lourdes University in collegiate sports and campus activities.
|
E1365215
|
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: Gray Wolves | Statement: [Lourdes University, hasMascot, Gray Wolves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gray Wolves Context triple: [Lourdes University, hasMascot, Gray Wolves]
-
A.
Wolves
"Wolves" is a popular electronic-pop song by Marshmello and Selena Gomez, known for its atmospheric production and emotionally driven lyrics.
-
B.
Wolves
Wolves is a 2016 American sports drama film written and directed by Bart Freundlich that follows a talented high school basketball player struggling with family turmoil and personal pressure.
-
C.
Wolves
"Wolves" is a track by the Wu-Tang Clan featured on their 2017 studio album "The Saga Continues."
-
D.
Wolves
"Wolves" is a moody, atmospheric hip-hop track by Kanye West that blends haunting production with introspective lyrics and prominent guest vocals.
-
E.
Wolves
Wolves is the athletic nickname and mascot representing the sports teams of Western Oregon University.
- 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: Gray Wolves Triple: [Lourdes University, hasMascot, Gray Wolves]
Generated description
The Gray Wolves are the athletic teams and mascot identity representing Lourdes University in collegiate sports and campus activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gray Wolves Target entity description: The Gray Wolves are the athletic teams and mascot identity representing Lourdes University in collegiate sports and campus activities.
-
A.
Wolves
"Wolves" is a moody, atmospheric hip-hop track by Kanye West that blends haunting production with introspective lyrics and prominent guest vocals.
-
B.
Wolves
Wolves is the athletic nickname and mascot representing the sports teams of Western Oregon University.
-
C.
Wolves
Wolves is the commonly used name for Wolverhampton Wanderers Football Club, a professional English football team based in Wolverhampton that competes in the Premier League.
-
D.
Wolves
Wolves is a 2014 Canadian action-horror film about a teenage werewolf uncovering his origins, written and directed by David Hayter.
-
E.
Wolves
Wolves is a 2016 American sports drama film written and directed by Bart Freundlich that follows a talented high school basketball player struggling with family turmoil and personal pressure.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99a571c8190a1d53eb1994e0058 |
completed | April 20, 2026, 10:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700de73948190a22ce83fa351f099 |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a07028a76ec8190a73f5ad24d380855 |
completed | May 15, 2026, 11:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0703248b748190b683455342da7238 |
completed | May 15, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:13 p.m.