Triple
T10066792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan School of Music |
E213121
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Janet D. Schenck
Janet D. Schenck was an American music educator best known for establishing and developing the Manhattan School of Music into a leading conservatory.
|
E848290
|
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: Janet D. Schenck | Statement: [Manhattan School of Music, founder, Janet D. Schenck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet D. Schenck Context triple: [Manhattan School of Music, founder, Janet D. Schenck]
-
A.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
B.
Judith Lerner
Judith Lerner is a character who appears in Jean-Luc Godard’s 2004 film "Notre musique."
-
C.
Jane H. Hill
Jane H. Hill was an influential American linguistic anthropologist known for her extensive work on Indigenous languages of the Americas and their sociocultural contexts.
-
D.
Mary Kay Adelman
Mary Kay Adelman is the wife of former NBA head coach Rick Adelman and has been involved in various charitable and community activities alongside him.
-
E.
Alyson C. Johnson
Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
- 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: Janet D. Schenck Triple: [Manhattan School of Music, founder, Janet D. Schenck]
Generated description
Janet D. Schenck was an American music educator best known for establishing and developing the Manhattan School of Music into a leading conservatory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janet D. Schenck Target entity description: Janet D. Schenck was an American music educator best known for establishing and developing the Manhattan School of Music into a leading conservatory.
-
A.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
B.
Judith Lerner
Judith Lerner is a character who appears in Jean-Luc Godard’s 2004 film "Notre musique."
-
C.
Jane H. Hill
Jane H. Hill was an influential American linguistic anthropologist known for her extensive work on Indigenous languages of the Americas and their sociocultural contexts.
-
D.
Mary Kay Adelman
Mary Kay Adelman is the wife of former NBA head coach Rick Adelman and has been involved in various charitable and community activities alongside him.
-
E.
Alyson C. Johnson
Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff63a4c8190bb08a0428aafa189 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354d7202c81908d42107c346900dc |
completed | April 6, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d35678f87c819080e0c66e86745f80 |
completed | April 6, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d356d0386481909dbfc3d907f5de18 |
completed | April 6, 2026, 6:46 a.m. |
Created at: March 30, 2026, 8:58 p.m.