Triple
T4685047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby (character in "Ruby, Don’t Take Your Love to Town") |
E103899
|
entity |
| Predicate | songNarratorEmotion |
P4917
|
FINISHED |
| Object | resentment toward Ruby |
—
|
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: resentment toward Ruby | Statement: [Ruby (character in "Ruby, Don’t Take Your Love to Town"), songNarratorEmotion, resentment toward Ruby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songNarratorEmotion Context triple: [Ruby (character in "Ruby, Don’t Take Your Love to Town"), songNarratorEmotion, resentment toward Ruby]
-
A.
lyricalMood
Indicates the prevailing emotional tone or atmosphere conveyed through lyrics or vocal expression in a piece of music.
-
B.
songAbout
Indicates that one entity (typically a song) has content, lyrics, or themes that are focused on, describe, or are dedicated to another entity.
-
C.
hasLyricNarrator
Indicates that a musical or lyrical work is associated with a specific narrator who voices or presents its lyrics.
-
D.
lyricalPerspective
chosen
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
E.
effectOfSong
Indicates the influence or impact that a particular song has on something, such as a listener, mood, or situation.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.