Triple
T34337291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come On Over (Only You) |
E881186
|
entity |
| Predicate | isEnglishVersionOf |
P43395
|
FINISHED |
| Object | Ven Conmigo (Solamente Tú) |
—
|
NE NERFINISHED |
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: Ven Conmigo (Solamente Tú) | Statement: [Come On Over (Only You), isEnglishVersionOf, Ven Conmigo (Solamente Tú)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEnglishVersionOf Context triple: [Come On Over (Only You), isEnglishVersionOf, Ven Conmigo (Solamente Tú)]
-
A.
hasEnglishEdition
chosen
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
B.
hasAmericanVersion
Indicates that one entity is an American adaptation, edition, or counterpart of another entity.
-
C.
EnglishVersionFeature
Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:58 a.m.