Triple
T19809787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Stadium |
E475911
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
F. Scott
F. Scott is the namesake of Scott Stadium at the University of Virginia, likely a significant benefactor or figure associated with the institution.
|
E1395171
|
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: F. Scott | Statement: [Scott Stadium, namedAfter, F. Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F. Scott Context triple: [Scott Stadium, namedAfter, F. Scott]
-
A.
F. Scott Fitzgerald
F. Scott Fitzgerald was a prominent 20th-century American novelist and short story writer best known for portraying the Jazz Age in works such as "The Great Gatsby."
-
B.
Scott Fitzgerald
Scott Fitzgerald is a musician best known for his past role as a member of the Canadian rock band Crash Test Dummies.
-
C.
Fitzgerald
Fitzgerald is the middle name of John F. Kennedy, the 35th president of the United States.
-
D.
Fitzgerald
Fitzgerald is a small rural locality in the Shire of Ravensthorpe in Western Australia, known for its proximity to the biodiverse Fitzgerald River National Park.
-
E.
Fitzgerald
Fitzgerald is a common Irish surname historically associated with Norman origins and borne by numerous notable figures in literature, politics, and the arts.
- 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: F. Scott Triple: [Scott Stadium, namedAfter, F. Scott]
Generated description
F. Scott is the namesake of Scott Stadium at the University of Virginia, likely a significant benefactor or figure associated with the institution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F. Scott Target entity description: F. Scott is the namesake of Scott Stadium at the University of Virginia, likely a significant benefactor or figure associated with the institution.
-
A.
F. Scott Fitzgerald
F. Scott Fitzgerald was a prominent 20th-century American novelist and short story writer best known for portraying the Jazz Age in works such as "The Great Gatsby."
-
B.
Scott Fitzgerald
Scott Fitzgerald is a musician best known for his past role as a member of the Canadian rock band Crash Test Dummies.
-
C.
Fitzgerald
Fitzgerald is the middle name of John F. Kennedy, the 35th president of the United States.
-
D.
Fitzgerald
Fitzgerald is a small rural locality in the Shire of Ravensthorpe in Western Australia, known for its proximity to the biodiverse Fitzgerald River National Park.
-
E.
Fitzgerald
Fitzgerald is a common Irish surname historically associated with Norman origins and borne by numerous notable figures in literature, politics, and the arts.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542ac1b48190a0cb69dbceca74da |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c51007588190a79fce631c31c727 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c5d33f808190bb521cd9e6e3cc34 |
completed | May 16, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c64396148190abecbeedbe047e5f |
completed | May 16, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:50 p.m.