Triple
T13992856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailamos |
E336623
|
entity |
| Predicate | hasEnglishAndSpanishLyrics |
P73517
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bailamos, hasEnglishAndSpanishLyrics, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishAndSpanishLyrics Context triple: [Bailamos, hasEnglishAndSpanishLyrics, yes]
-
A.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
B.
hasEnglishLyricAdapter
Indicates that an entity has a specific person or agent responsible for adapting its lyrics into English.
-
C.
hasOfficialLyrics
Indicates that an entity (such as a song or musical work) has lyrics that are formally recognized or authorized as the official version.
-
D.
hasLyricsIn
chosen
Indicates that the lyrics of a work are written or available in a specified language.
-
E.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.