Triple
T10006754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tidal |
E198272
|
entity |
| Predicate | notableSingle |
P3283
|
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: [Tidal, notableSingle, Criminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Criminal Context triple: [Tidal, notableSingle, 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.
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.
-
D.
Criminal Justice
Criminal Justice is a British television drama series that explores the legal system and the personal impact of being accused of a serious crime.
-
E.
Capital Crimes
Capital Crimes is a mystery novel series, primarily set in Washington, D.C., that follows politically charged murder investigations intertwined with the city’s power and intrigue.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd16afb481909a5d5893e024683f |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28209678c8190898d923753bb4472 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:52 p.m.