Triple
T10572986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Lo Dije |
E249537
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Criminal |
E200809
|
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: Criminal | Statement: [Te Lo Dije, hasTrack, Criminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Criminal Context triple: [Te Lo Dije, hasTrack, Criminal]
-
A.
Criminal
"Criminal" is a 1997 alternative rock song by Fiona Apple, known for its confessional lyrics and Grammy-winning success.
-
B.
Criminal
chosen
"Criminal" is a popular reggaeton and Latin trap single by Puerto Rican singer Ozuna, known for its catchy rhythm and widespread success in the Latin music scene.
-
C.
Criminal
"Criminal" is a 1995 hip hop song by American rapper Shock G (Gregory Jacobs), known for its socially conscious lyrics and distinctive production style.
-
D.
Criminal
"Criminal" is a 2016 science fiction action thriller film about a death row inmate implanted with a dead CIA agent’s memories, written by Douglas S. Cook and David Weisberg.
-
E.
Penal
Penal is a town in southern Trinidad known for its diverse population, vibrant cultural festivals, and role as a commercial hub in the region.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274929cc81909a79d5e2049f7389 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.