Triple
T13993428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quizás |
E336636
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Miente |
E1072802
|
NE 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: Miente | Statement: [Quizás, hasTrack, Miente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miente Context triple: [Quizás, hasTrack, Miente]
-
A.
Miente
chosen
"Miente" is a song featured on the album "Vivir," known for its emotive Latin pop style and expressive vocal delivery.
-
B.
Mentiroso
"Mentiroso" is a song featured on the album "Escape," known for its catchy melody and themes of deceit and emotional conflict.
-
C.
Liar
"Liar" is a 2019 Latin pop-influenced single by Cuban-American singer Camila Cabello, known for its playful lyrics and brass-heavy, danceable production.
-
D.
Liar
"Liar" is a 1992 noise rock album by The Jesus Lizard, widely regarded as one of the band's most intense and critically acclaimed releases.
-
E.
Liar!
"Liar!" is a classic Isaac Asimov science fiction short story about a mind-reading robot whose inability to harm humans leads it to tell comforting but ultimately damaging lies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0934b74819094ec7309c23a3e2a |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:19 p.m.