Triple
T26738404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go the Distance |
E674177
|
entity |
| Predicate | RickyMartinVersionLanguage |
P36214
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Go the Distance, RickyMartinVersionLanguage, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RickyMartinVersionLanguage Context triple: [Go the Distance, RickyMartinVersionLanguage, Spanish]
-
A.
hasSpanishLanguageVersion
chosen
Indicates that an entity has a corresponding version or representation available in the Spanish language.
-
B.
hasCoverVersionLanguage
Indicates that a cover version of a work is performed or produced in a specified language.
-
C.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
D.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
E.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618469dc081908c9db3b9d1f5bb4c |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:48 a.m.