Triple
T23262597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Never Liked You |
E582052
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Smatt Sertified |
—
|
NE NERFINISHED |
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: Smatt Sertified | Statement: [I Never Liked You, producer, Smatt Sertified]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smatt Sertified Context triple: [I Never Liked You, producer, Smatt Sertified]
-
A.
Smatt Sertified
chosen
Smatt Sertified is a music producer known for contributing to Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
-
B.
SMAT
SMAT is a domestic Twenty20 cricket tournament in India named after the former Indian cricketer Syed Mushtaq Ali.
-
C.
Sert
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
-
D.
Mattsies
Mattsies is a village in Bavaria, Germany, known as the home base of the aircraft manufacturer Grob Aircraft AG.
-
E.
SmB
SmB is a core Sm protein that forms part of the small nuclear ribonucleoprotein (snRNP) complex essential for pre-mRNA splicing in eukaryotic cells.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194caaf208190931923744692180d |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.