Triple
T30866199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Requiem pour un con |
E786205
|
entity |
| Predicate | hasBitingLyrics |
P123542
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Requiem pour un con, hasBitingLyrics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBitingLyrics Context triple: [Requiem pour un con, hasBitingLyrics, true]
-
A.
hasControversialLyrics
Indicates that the lyrics associated with an entity are considered contentious, offensive, or likely to provoke public disagreement or debate.
-
B.
hasWittyLyrics
chosen
Indicates that the subject contains or is characterized by clever, humorous, or sharply amusing lyrics.
-
C.
hasAggressiveVocals
Indicates that the subject produces or features vocals delivered in an intense, harsh, or forceful manner.
-
D.
hasRomanticLyrics
Indicates that the subject contains or features lyrics expressing romantic feelings, themes, or relationships.
-
E.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 8:47 p.m.