Triple
T11352568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheyney State Lady Wolves basketball |
E268870
|
entity |
| Predicate | teamNickname |
P5076
|
FINISHED |
| Object |
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
|
E920763
|
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: Lady Wolves | Statement: [Cheyney State Lady Wolves basketball, teamNickname, Lady Wolves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Wolves Context triple: [Cheyney State Lady Wolves basketball, teamNickname, Lady Wolves]
-
A.
Lady Eagles
Lady Eagles is the nickname for the women's athletic teams representing the University of Southern Mississippi in collegiate sports.
-
B.
Lady Jets
Lady Jets is the name of the women’s athletic teams representing South Georgia Technical College in intercollegiate sports.
-
C.
Lady Bears
Lady Bears is the nickname for the women’s athletic teams representing Missouri State University in collegiate sports.
-
D.
Lady Tigers
The Lady Tigers are the women's athletic teams representing Tennessee State University in collegiate sports competitions.
-
E.
Lady Tigers
The Lady Tigers are the women’s basketball team representing Louisiana State University in NCAA Division I competition.
- 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: Lady Wolves Triple: [Cheyney State Lady Wolves basketball, teamNickname, Lady Wolves]
Generated description
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Wolves Target entity description: Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
A.
Lady Eagles
Lady Eagles is the nickname for the women's athletic teams representing the University of Southern Mississippi in collegiate sports.
-
B.
Lady Jets
Lady Jets is the name of the women’s athletic teams representing South Georgia Technical College in intercollegiate sports.
-
C.
Lady Bears
Lady Bears is the nickname for the women’s athletic teams representing Missouri State University in collegiate sports.
-
D.
Lady Tigers
The Lady Tigers are the women's athletic teams representing Tennessee State University in collegiate sports competitions.
-
E.
Lady Tigers
The Lady Tigers are the women’s basketball team representing Louisiana State University in NCAA Division I competition.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea24489081908fbf47fd2e6d709c |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543a6e97481909dc77a553b217b4d |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54efda820819092d6a94fa4fd21f0 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 8, 2026, 9:33 p.m.