Triple
T12331949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day After |
E293982
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Toxic & Cuzzo & Tight Mike |
E976098
|
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: Toxic & Cuzzo & Tight Mike | Statement: [The Day After, producer, Toxic & Cuzzo & Tight Mike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toxic & Cuzzo & Tight Mike Context triple: [The Day After, producer, Toxic & Cuzzo & Tight Mike]
-
A.
Toxic & Tight Mike
Toxic & Tight Mike is a music producer known for working on the track "The Day After."
-
B.
Toxic & Tight Mike & Buckwild
Toxic & Tight Mike & Buckwild are hip-hop music producers known for their collaborative work on projects such as Twista’s album "The Day After."
-
C.
Toxic & Cuzzo
chosen
Toxic & Cuzzo is a music production duo known for their work on the track "The Day After."
-
D.
Toxic & Tight Mike & Twista
Toxic & Tight Mike & Twista are a hip hop production and artist collaboration team known for contributing to Twista’s rapid-fire, Chicago-based sound.
-
E.
Iron Mike
Iron Mike is the nickname of Mike Ditka, the Hall of Fame tight end and Super Bowl–winning head coach best known for leading the Chicago Bears.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa12f108190851c6958eb35ee5b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.