Triple
T1845457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtis Institute of Music |
E41274
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Pamela Frank
Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
|
E263376
|
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: Pamela Frank | Statement: [Curtis Institute of Music, hasNotableAlumni, Pamela Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamela Frank Context triple: [Curtis Institute of Music, hasNotableAlumni, Pamela Frank]
-
A.
Pamela Sue Horowitz
Pamela Sue Horowitz is a civil rights attorney and activist best known as the wife and partner of prominent civil rights leader Julian Bond.
-
B.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
-
C.
Pam Oliver
Pam Oliver is an American sportscaster best known for her long-running work as an NFL sideline reporter on major television networks.
-
D.
Adrienne Nesser
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
E.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
- 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: Pamela Frank Triple: [Curtis Institute of Music, hasNotableAlumni, Pamela Frank]
Generated description
Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamela Frank Target entity description: Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
-
A.
Pamela Sue Horowitz
Pamela Sue Horowitz is a civil rights attorney and activist best known as the wife and partner of prominent civil rights leader Julian Bond.
-
B.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
-
C.
Pam Oliver
Pam Oliver is an American sportscaster best known for her long-running work as an NFL sideline reporter on major television networks.
-
D.
Adrienne Nesser
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
E.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb051640c819088a8b28a03f57331 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3a777a481909e8b350811ee29c0 |
completed | March 9, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_69aeb48dfbfc81908193c909315bd030 |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57af28c8190bfca30ad3e7ca8b3 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:33 p.m.