Triple
T38228657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Away in a Manger |
E1012222
|
entity |
| Predicate | lyricsAttributedTo |
P190183
|
FINISHED |
| Object | Martin Luther |
—
|
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: Martin Luther | Statement: [Away in a Manger, lyricsAttributedTo, Martin Luther]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsAttributedTo Context triple: [Away in a Manger, lyricsAttributedTo, Martin Luther]
-
A.
creditedSongwritersOfSampledWork
Indicates that the related entities are the songwriters who received official credit for the original work that was sampled in another piece of music.
-
B.
songWrittenBy
Indicates that a particular song was created or composed by a specific person or group.
-
C.
originalLyricistOfCoveredSong
Indicates that one entity is the original lyricist who wrote the lyrics for a song that is being covered by another performer or recording.
-
D.
alsoAttributedMusicTo
Indicates that additional musical works or contributions are credited to the same entity beyond those already specified.
-
E.
lyricistOfSourcePoem
Indicates that one entity is the writer of the original poem on which another work (such as a song or adaptation) is based.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.