Triple
T8989040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watch Out |
E214740
|
entity |
| Predicate | mixtape |
P24091
|
FINISHED |
| Object | Trap-A-Velli Tre |
E772090
|
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: Trap-A-Velli Tre | Statement: [Watch Out, mixtape, Trap-A-Velli Tre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trap-A-Velli Tre Context triple: [Watch Out, mixtape, Trap-A-Velli Tre]
-
A.
Trap-A-Velli Tre
chosen
Trap-A-Velli Tre is a mixtape by American rapper 2 Chainz that showcases his Southern trap style and helped solidify his solo career.
-
B.
Merry-Go-Round
Merry-Go-Round is a classic carousel ride featuring ornate, rotating horses and other figures, providing a traditional family-friendly amusement park experience.
-
C.
Merry-Go-Round
"Merry-Go-Round" is a well-known painting by American artist Reginald Marsh that vividly depicts the crowded, dynamic energy of urban life in early 20th-century New York.
-
D.
Merry Go Round
"Merry Go Round" is a blues-rock track by guitarist Gary Moore from his Peter Green tribute album "Blues for Greeny."
-
E.
Merry Go Round
"Merry Go Round" is an R&B song by American singer Keith Sweat, known for its smooth vocals and romantic, slow-groove production.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb51c9fc81908d86858f10c9ab62 |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:04 p.m.