Triple
T9040011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My City of Ruins |
E216597
|
entity |
| Predicate | hasOpeningLyrics |
P15282
|
FINISHED |
| Object | "There is a blood red circle on the cold dark ground" |
—
|
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: "There is a blood red circle on the cold dark ground" | Statement: [My City of Ruins, hasOpeningLyrics, "There is a blood red circle on the cold dark ground"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningLyrics Context triple: [My City of Ruins, hasOpeningLyrics, "There is a blood red circle on the cold dark ground"]
-
A.
hasOpeningLyric
chosen
Indicates that one entity serves as the opening lyric of another entity, typically a song or musical work.
-
B.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
C.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
D.
hasExplicitLyrics
Indicates that the referenced content contains explicit language or themes, such as profanity, sexual content, or strong violence.
-
E.
hasLyricCharacter
Indicates that a musical work or song includes a specific character or persona within its lyrics.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac46f4881909882403bb81db152 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:09 p.m.