Triple
T37222101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say, Brothers, Will You Meet Us |
E922910
|
entity |
| Predicate | melodyUsedFor |
P187319
|
FINISHED |
| Object | John Brown's Body |
—
|
NE NERFINISHED |
How this triple was built (2 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: John Brown's Body | Statement: [Say, Brothers, Will You Meet Us, melodyUsedFor, John Brown's Body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodyUsedFor Context triple: [Say, Brothers, Will You Meet Us, melodyUsedFor, John Brown's Body]
-
A.
melodyReusedBy
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
B.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
C.
melodyAdaptedFrom
Indicates that the melody of one musical work is derived, arranged, or modified from the melody of another pre-existing work.
-
D.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
E.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
- F. None of above. chosen
Provenance (4 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb41333b548190912cb238ffc271c9 |
completed | May 6, 2026, 1:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.