Triple
T34336892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi Reflejo |
E881170
|
entity |
| Predicate | hasOriginalSpanishTracks |
P36214
|
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: [Mi Reflejo, hasOriginalSpanishTracks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalSpanishTracks Context triple: [Mi Reflejo, hasOriginalSpanishTracks, true]
-
A.
appearsInOriginalLanguage
Indicates that something (such as a work, text, or content) is presented or occurs in the language in which it was originally created, rather than in translation.
-
B.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
C.
hasSpanishLanguageVersion
chosen
Indicates that an entity has a corresponding version or representation available in the Spanish language.
-
D.
usesOriginalVocalsFrom
Indicates that one work incorporates the original, unaltered vocal recordings from another work.
-
E.
hasOriginalSongReleaseContext
Indicates that an original song is associated with a specific context in which it was first released (such as an event, medium, or setting).
- 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_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
Created at: May 1, 2026, 1:58 a.m.