Triple
T14910366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaBahn Arena |
E371244
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Mary Ann LaBahn
Mary Ann LaBahn is a benefactor and namesake associated with the University of Wisconsin's LaBahn Arena, recognized for her significant support of the institution's athletics programs.
|
E1329214
|
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: Mary Ann LaBahn | Statement: [LaBahn Arena, namedAfter, Mary Ann LaBahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ann LaBahn Context triple: [LaBahn Arena, namedAfter, Mary Ann LaBahn]
-
A.
Mary Patricia Plangman
Mary Patricia Plangman is the birth name of Patricia Highsmith, the acclaimed American novelist best known for her psychological thrillers and the Tom Ripley series.
-
B.
Ann Lembeck
Ann Lembeck is the wife of American actor and comedian Denis Leary.
-
C.
Mary M. Wyman
Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
-
D.
Mary R. Haas
Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
-
E.
Mary M. Schroeder
Mary M. Schroeder is an American jurist who served as a judge, and later chief judge, on the U.S. Court of Appeals for the Ninth Circuit.
- 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: Mary Ann LaBahn Triple: [LaBahn Arena, namedAfter, Mary Ann LaBahn]
Generated description
Mary Ann LaBahn is a benefactor and namesake associated with the University of Wisconsin's LaBahn Arena, recognized for her significant support of the institution's athletics programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Ann LaBahn Target entity description: Mary Ann LaBahn is a benefactor and namesake associated with the University of Wisconsin's LaBahn Arena, recognized for her significant support of the institution's athletics programs.
-
A.
Mary Patricia Plangman
Mary Patricia Plangman is the birth name of Patricia Highsmith, the acclaimed American novelist best known for her psychological thrillers and the Tom Ripley series.
-
B.
Ann Lembeck
Ann Lembeck is the wife of American actor and comedian Denis Leary.
-
C.
Mary M. Wyman
Mary M. Wyman was the wife of influential American geographer and geologist William Morris Davis.
-
D.
Mary R. Haas
Mary R. Haas was an influential American linguist renowned for her work on Native American languages and for training a generation of field linguists.
-
E.
Mary M. Schroeder
Mary M. Schroeder is an American jurist who served as a judge, and later chief judge, on the U.S. Court of Appeals for the Ninth Circuit.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0491547b9081909876f88fe6a58ee7 |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a04922aa908819093d00f57fdb00627 |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04933727488190b7a04789a17a16a0 |
completed | May 13, 2026, 3:05 p.m. |
Created at: April 10, 2026, 2:26 a.m.