Triple
T19200177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bring It On Home to Me |
E470083
|
entity |
| Predicate | hasCallSignLyric |
P134840
|
FINISHED |
| Object | Bring it to me, bring your sweet loving |
—
|
LITERAL FINISHED |
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: Bring it to me, bring your sweet loving | Statement: [Bring It On Home to Me, hasCallSignLyric, Bring it to me, bring your sweet loving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallSignLyric Context triple: [Bring It On Home to Me, hasCallSignLyric, Bring it to me, bring your sweet loving]
-
A.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
B.
hasLyricCharacter
Indicates that a musical work or song includes a specific character or persona within its lyrics.
-
C.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
D.
hasLyricsTone
Indicates the tonal quality or emotional character expressed by the lyrics of a piece of music.
-
E.
hasAdditionalLyricsBy
Indicates that an entity (such as a musical work or track) includes extra or modified lyrics contributed by a specified person or group beyond the original lyricist.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9967ac081909106aa5ea447e94d |
completed | April 20, 2026, 10:01 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bc158081908307dab01d9478c6 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:07 p.m.