Triple
T7418744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circus |
E171190
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Can’t Get You Off My Mind |
E662993
|
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: Can’t Get You Off My Mind | Statement: [Circus, notableSingle, Can’t Get You Off My Mind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can’t Get You Off My Mind Context triple: [Circus, notableSingle, Can’t Get You Off My Mind]
-
A.
Can’t Get You Off My Mind
chosen
"Can’t Get You Off My Mind" is a song featured on Britney Spears’ 2008 album *Circus*.
-
B.
Can't Get You Outta My Mind
"Can't Get You Outta My Mind" is a song featured on the album "Brain Drain."
-
C.
Money on My Mind
"Money on My Mind" is a track by Lil Wayne from his critically acclaimed 2005 album Tha Carter II, showcasing his focus on wealth, ambition, and lyrical wordplay.
-
D.
You’re Mine
"You’re Mine" is a song by South Korean singer-songwriter CK, known for its smooth blend of R&B and hip-hop elements.
-
E.
I'll Get You
"I'll Get You" is a 1963 Beatles song written primarily by John Lennon and Paul McCartney, notable as an early example of their close-harmony, Merseybeat style.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277c92788190bcd36cfa461b4d95 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.