Triple
T9417421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia State University |
E227060
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object |
Rosalyn Dance
Rosalyn Dance is an American politician who has served in the Virginia General Assembly, including terms in both the House of Delegates and the State Senate.
|
E798303
|
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: Rosalyn Dance | Statement: [Virginia State University, notableAlumni, Rosalyn Dance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosalyn Dance Context triple: [Virginia State University, notableAlumni, Rosalyn Dance]
-
A.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
B.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
C.
Melanie Ralston
Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
-
D.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
E.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
- 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: Rosalyn Dance Triple: [Virginia State University, notableAlumni, Rosalyn Dance]
Generated description
Rosalyn Dance is an American politician who has served in the Virginia General Assembly, including terms in both the House of Delegates and the State Senate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosalyn Dance Target entity description: Rosalyn Dance is an American politician who has served in the Virginia General Assembly, including terms in both the House of Delegates and the State Senate.
-
A.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
B.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
-
C.
Melanie Ralston
Melanie Ralston is a laid-back, manipulative surfer girl and stoner who becomes entangled in the criminal schemes surrounding Ordell Robbie in Quentin Tarantino’s film "Jackie Brown."
-
D.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
E.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cb4be08190a47f901a9703f9db |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107bfd73481908e07d0ee2774bd59 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1085a980c8190b4c6d811b07ab180 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1093f440481909aa27287019191ac |
completed | April 4, 2026, 12:51 p.m. |
Created at: March 30, 2026, 7:48 p.m.