Triple
T19533352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Wanna Rock |
E488708
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | MCVertt |
—
|
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: MCVertt | Statement: [Just Wanna Rock, writer, MCVertt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCVertt Context triple: [Just Wanna Rock, writer, MCVertt]
-
A.
MCVertt
chosen
MCVertt is a music producer best known for crafting the high-energy, Jersey club-influenced sound behind Lil Uzi Vert’s hit “Just Wanna Rock.”
-
B.
Versh
Versh is a character in William Faulkner’s novel "The Sound and the Fury," serving as a childhood caretaker and companion to the Compson children.
-
C.
Vertiskos
Vertiskos is a village in northern Greece that forms part of the wider Municipality of Lagkadas in the Thessaloniki regional unit.
-
D.
Vergt
Vergt is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord region.
-
E.
Verran
Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6364091f4819088b27d0ffdf6010d |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.