Triple
T7289684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank U, Next |
E163958
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | 7 rings |
E340526
|
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: 7 rings | Statement: [Thank U, Next, followedBy, 7 rings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 7 rings Context triple: [Thank U, Next, followedBy, 7 rings]
-
A.
7 rings
chosen
"7 rings" is a trap-pop and R&B-influenced hit single by Ariana Grande, known for its themes of wealth and empowerment and its interpolation of "My Favorite Things."
-
B.
Rings
"Rings" is a film score composed by Matthew Margeson for the 2017 supernatural horror movie of the same name.
-
C.
Ring
"Ring" is a hard science fiction novel by Stephen Baxter that explores cosmic-scale themes of space, time, and the far future of the universe.
-
D.
Ring
Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
-
E.
Jewels
Jewels is a three-act, plotless ballet choreographed by George Balanchine, celebrated for its jewel-themed sections set to music by Fauré, Stravinsky, and Tchaikovsky.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.