Triple
T36682274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Must Be Jesus |
E905714
|
entity |
| Predicate | melodyAdaptedIn |
P37245
|
FINISHED |
| Object | I Got a Woman |
—
|
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: I Got a Woman | Statement: [It Must Be Jesus, melodyAdaptedIn, I Got a Woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodyAdaptedIn Context triple: [It Must Be Jesus, melodyAdaptedIn, I Got a Woman]
-
A.
melodyAdaptedFrom
Indicates that the melody of one musical work is derived, arranged, or modified from the melody of another pre-existing work.
-
B.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
C.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
D.
melodyReusedBy
chosen
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
E.
lyricAdaptationBy
Indicates that the lyrics of a work have been adapted, modified, or reinterpreted by a specified agent or creator.
- F. None of above.
Provenance (3 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7c0ce9081909e8b4cbf6419b728 |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.