Triple
T13002910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finland women's national ice hockey team |
E322213
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Lady Lions
Lady Lions is the popular nickname of Finland’s women’s national ice hockey team, one of the world’s top female hockey programs.
|
E1016630
|
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 Lions | Statement: [Finland women's national ice hockey team, nickname, Lady Lions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Lions Context triple: [Finland women's national ice hockey team, nickname, Lady Lions]
-
A.
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
B.
Lady Griz
Lady Griz is the nickname for the University of Montana’s women’s athletic teams, particularly its women’s basketball program.
-
C.
Lady Monarchs
Lady Monarchs is the nickname for the women's athletic teams representing Old Dominion University in collegiate sports.
-
D.
Lady Flames
Lady Flames is the name used for the women’s athletic teams representing Liberty University in collegiate sports competitions.
-
E.
Lady Bears
Lady Bears is the nickname for the women’s athletic teams representing Missouri State University in collegiate 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: Lady Lions Triple: [Finland women's national ice hockey team, nickname, Lady Lions]
Generated description
Lady Lions is the popular nickname of Finland’s women’s national ice hockey team, one of the world’s top female hockey programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Lions Target entity description: Lady Lions is the popular nickname of Finland’s women’s national ice hockey team, one of the world’s top female hockey programs.
-
A.
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
B.
Lady Griz
Lady Griz is the nickname for the University of Montana’s women’s athletic teams, particularly its women’s basketball program.
-
C.
Lady Monarchs
Lady Monarchs is the nickname for the women's athletic teams representing Old Dominion University in collegiate sports.
-
D.
Lady Flames
Lady Flames is the name used for the women’s athletic teams representing Liberty University in collegiate sports competitions.
-
E.
Lady Bears
Lady Bears is the nickname for the women’s athletic teams representing Missouri State University in collegiate 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 9, 2026, 8:47 p.m.