Triple
T14854391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Next to Me" music video |
E349313
|
entity |
| Predicate | basedOnSong |
P46719
|
FINISHED |
| Object | "Next to Me" |
E1123563
|
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: "Next to Me" | Statement: ["Next to Me" music video, basedOnSong, "Next to Me"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Next to Me" Context triple: ["Next to Me" music video, basedOnSong, "Next to Me"]
-
A.
Next to Me
chosen
"Next to Me" is a song best known as a soulful, gospel-tinged pop track by Scottish singer Emeli Sandé.
-
B.
Next To Me
"Next To Me" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and romantic lyrics.
-
C.
The Next One
The Next One is a nickname for Canadian ice hockey star Sidney Crosby, highlighting expectations that he would follow in Wayne Gretzky’s footsteps as the sport’s next generational talent.
-
D.
"Pieces of Me"
"Pieces of Me" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and introspective, empowering lyricism.
-
E.
The Next Time
"The Next Time" is a song featured on the album "What Comes Naturally."
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4ce76881909bf4a967da9357ae |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.