Triple
T1524473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juilliard School |
E32303
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object |
Patti LuPone
Patti LuPone is a celebrated American stage and screen actress and singer, renowned for her powerful voice and iconic performances in major Broadway musicals.
|
E179088
|
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: Patti LuPone | Statement: [Juilliard School, hasAlumni, Patti LuPone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patti LuPone Context triple: [Juilliard School, hasAlumni, Patti LuPone]
-
A.
Christine Ebersole
Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
-
B.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
C.
Debra Messing
Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
-
D.
Bette Midler
Bette Midler is an American singer, actress, and comedian renowned for her powerful vocals, theatrical performances, and acclaimed work in film, television, and on stage.
-
E.
Gwen Verdon
Gwen Verdon was an acclaimed American actress and dancer best known for her Tony Award–winning performances in Broadway musicals such as "Damn Yankees" and "Chicago."
- 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: Patti LuPone Triple: [Juilliard School, hasAlumni, Patti LuPone]
Generated description
Patti LuPone is a celebrated American stage and screen actress and singer, renowned for her powerful voice and iconic performances in major Broadway musicals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patti LuPone Target entity description: Patti LuPone is a celebrated American stage and screen actress and singer, renowned for her powerful voice and iconic performances in major Broadway musicals.
-
A.
Christine Ebersole
Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
-
B.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
C.
Debra Messing
Debra Messing is an American actress best known for her Emmy-winning role as Grace Adler on the sitcom "Will & Grace."
-
D.
Bette Midler
Bette Midler is an American singer, actress, and comedian renowned for her powerful vocals, theatrical performances, and acclaimed work in film, television, and on stage.
-
E.
Gwen Verdon
Gwen Verdon was an acclaimed American actress and dancer best known for her Tony Award–winning performances in Broadway musicals such as "Damn Yankees" and "Chicago."
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9080175588190bb3b1d4b17966f2f |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401616ec81908edd9dcb9f4a0184 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad4130bf30819092be42a4e9225220 |
completed | March 8, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41968e4c8190b843b97e18ac9968 |
completed | March 8, 2026, 9:29 a.m. |
Created at: March 4, 2026, 7:26 p.m.