Triple
T19664536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs of Love and Hate |
E472166
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dress Rehearsal Rag |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dress Rehearsal Rag | Statement: [Songs of Love and Hate, hasPart, Dress Rehearsal Rag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dress Rehearsal Rag Context triple: [Songs of Love and Hate, hasPart, Dress Rehearsal Rag]
-
A.
Tiger Rag
"Tiger Rag" is a virtuosic jazz piano showpiece famously interpreted by Art Tatum, showcasing his extraordinary speed, technique, and improvisational brilliance.
-
B.
Union Rags
Union Rags is a Grade 1-winning American Thoroughbred racehorse best known for capturing the 2012 Belmont Stakes before retiring to a successful stud career.
-
C.
Humoresque
Humoresque is a 1946 American romantic drama film about a talented but troubled violinist and his complex relationship with a wealthy, self-destructive patron.
-
D.
Maple Leaf Rag
"Maple Leaf Rag" is a landmark ragtime piano composition by Scott Joplin, renowned for its syncopated rhythms and major influence on early American popular music.
-
E.
Twelfth Street Rag
"Twelfth Street Rag" is a classic early jazz and ragtime composition that became a popular standard, widely recorded and performed by many artists across the 20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dress Rehearsal Rag Target entity description: "Dress Rehearsal Rag" is a dark, introspective song by Leonard Cohen that explores themes of despair, self-doubt, and suicidal ideation.
-
A.
Tiger Rag
"Tiger Rag" is a virtuosic jazz piano showpiece famously interpreted by Art Tatum, showcasing his extraordinary speed, technique, and improvisational brilliance.
-
B.
Union Rags
Union Rags is a Grade 1-winning American Thoroughbred racehorse best known for capturing the 2012 Belmont Stakes before retiring to a successful stud career.
-
C.
Humoresque
Humoresque is a 1946 American romantic drama film about a talented but troubled violinist and his complex relationship with a wealthy, self-destructive patron.
-
D.
Maple Leaf Rag
"Maple Leaf Rag" is a landmark ragtime piano composition by Scott Joplin, renowned for its syncopated rhythms and major influence on early American popular music.
-
E.
Twelfth Street Rag
"Twelfth Street Rag" is a classic early jazz and ragtime composition that became a popular standard, widely recorded and performed by many artists across the 20th century.
- F. None of above. chosen
Provenance (2 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416749d48190b141a6acd20c9694 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.