Triple
T29965020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo x Ti, Tu x Mi |
E761157
|
entity |
| Predicate | hasRomanticLyricism |
P152786
|
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: [Yo x Ti, Tu x Mi, hasRomanticLyricism, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRomanticLyricism Context triple: [Yo x Ti, Tu x Mi, hasRomanticLyricism, true]
-
A.
hasRomanticLyrics
chosen
Indicates that the subject contains or features lyrics expressing romantic feelings, themes, or relationships.
-
B.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
-
C.
romanticThemeExpressedThrough
Indicates that a romantic theme is conveyed or manifested through a particular medium, element, or aspect of a work or situation.
-
D.
lyricalMood
Indicates the prevailing emotional tone or atmosphere conveyed through lyrics or vocal expression in a piece of music.
-
E.
romanticFeeling
Indicates that one entity experiences romantic attraction or affection toward another entity.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 6:30 p.m.