Triple
T12803811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty University |
E306090
|
entity |
| Predicate | sportsNickname |
P55
|
FINISHED |
| Object |
Lady Flames
Lady Flames is the name used for the women’s athletic teams representing Liberty University in collegiate sports competitions.
|
E1004594
|
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 Flames | Statement: [Liberty University, sportsNickname, Lady Flames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Flames Context triple: [Liberty University, sportsNickname, Lady Flames]
-
A.
Lady Jets
Lady Jets is the name of the women’s athletic teams representing South Georgia Technical College in intercollegiate sports.
-
B.
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
C.
Lady Monarchs
Lady Monarchs is the nickname for the women's athletic teams representing Old Dominion University in collegiate sports.
-
D.
Ladyjacks
Ladyjacks is the nickname for the women’s athletic teams representing Stephen F. Austin State University.
-
E.
Lady Griz
Lady Griz is the nickname for the University of Montana’s women’s athletic teams, particularly its women’s basketball program.
- 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 Flames Triple: [Liberty University, sportsNickname, Lady Flames]
Generated description
Lady Flames is the name used for the women’s athletic teams representing Liberty University in collegiate sports competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Flames Target entity description: Lady Flames is the name used for the women’s athletic teams representing Liberty University in collegiate sports competitions.
-
A.
Lady Jets
Lady Jets is the name of the women’s athletic teams representing South Georgia Technical College in intercollegiate sports.
-
B.
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
C.
Lady Monarchs
Lady Monarchs is the nickname for the women's athletic teams representing Old Dominion University in collegiate sports.
-
D.
Ladyjacks
Ladyjacks is the nickname for the women’s athletic teams representing Stephen F. Austin State University.
-
E.
Lady Griz
Lady Griz is the nickname for the University of Montana’s women’s athletic teams, particularly its women’s basketball program.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec463f08190822e5235362cf584 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f6908cb8ec8190855b217c13a51f16 |
completed | May 3, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6917688508190ae5a64494eaadce7 |
completed | May 3, 2026, 12:06 a.m. |
Created at: April 9, 2026, 5:30 p.m.