Triple
T15970920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Shaw |
E387318
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
By and By
"By and By" is a contemporary classical vocal work by Pulitzer Prize–winning composer Caroline Shaw that blends traditional hymn elements with modern harmonic and textural techniques.
|
E1186316
|
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: By and By | Statement: [Caroline Shaw, notableWork, By and By]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: By and By Context triple: [Caroline Shaw, notableWork, By and By]
-
A.
Meantime
Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
-
B.
Meantime
Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
-
C.
Stop on By
"Stop on By" is a song by the American country music band Camouflage.
-
D.
The Altogether
The Altogether is a 2001 studio album by British electronic music duo Orbital, known for blending techno, breakbeat, and experimental electronic sounds.
-
E.
In Between
"In Between" is a song by the American rock band Blue Collar.
- 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: By and By Triple: [Caroline Shaw, notableWork, By and By]
Generated description
"By and By" is a contemporary classical vocal work by Pulitzer Prize–winning composer Caroline Shaw that blends traditional hymn elements with modern harmonic and textural techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: By and By Target entity description: "By and By" is a contemporary classical vocal work by Pulitzer Prize–winning composer Caroline Shaw that blends traditional hymn elements with modern harmonic and textural techniques.
-
A.
Meantime
Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
-
B.
Meantime
Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
-
C.
Stop on By
"Stop on By" is a song by the American country music band Camouflage.
-
D.
The Altogether
The Altogether is a 2001 studio album by British electronic music duo Orbital, known for blending techno, breakbeat, and experimental electronic sounds.
-
E.
In Between
"In Between" is a song by the American rock band Blue Collar.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157291214819088d65e984609e42c |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.