Triple
T13600158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beam Me Up Scotty |
E324920
|
entity |
| Predicate | hasNotableTrack |
P8087
|
FINISHED |
| Object | Gotta Go (hard) |
E1051031
|
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: Gotta Go (hard) | Statement: [Beam Me Up Scotty, hasNotableTrack, Gotta Go (hard)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gotta Go (hard) Context triple: [Beam Me Up Scotty, hasNotableTrack, Gotta Go (hard)]
-
A.
Gotta Go Hard
"Gotta Go Hard" is a rap track by Nicki Minaj featured on her mixtape *Beam Me Up Scotty*, showcasing her aggressive flow and punchline-heavy style.
-
B.
Gotta Go
chosen
"Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
-
C.
Got to Go
"Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
-
D.
Go Hard
"Go Hard" is a track by Nicki Minaj featured on her mixtape *Beam Me Up Scotty*, showcasing her aggressive flow and punchline-heavy rap style.
-
E.
I Gotta Go
"I Gotta Go" is a blues track performed by The Rolling Stones, featured on their 2016 covers album *Blue & Lonesome*.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae394748190b6a0f9a085b7dea6 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:49 p.m.