Triple
T18542527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Scandrick |
E453134
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dance With Me |
E1244010
|
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: Dance With Me | Statement: [Marvin Scandrick, notableWork, Dance With Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dance With Me Context triple: [Marvin Scandrick, notableWork, Dance With Me]
-
A.
Dance With Me
"Dance With Me" is a song featured as a component of the music release "One More Time..."
-
B.
Dance with Me
chosen
"Dance with Me" is a song produced by Vada Nobles, best known for its blend of contemporary R&B and pop influences.
-
C.
Dance with Me
"Dance with Me" is a 1959 doo-wop and R&B song by The Drifters that became one of the group's early hit singles.
-
D.
Dance with Me
"Dance with Me" is a work associated with American politician and author John Hall, reflecting his creative output beyond his political career.
-
E.
Dance with Me Tonight
"Dance with Me Tonight" is a retro-inspired pop song by English singer Olly Murs, known for its upbeat, soulful style and catchy, sing-along chorus.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b80fc081908488417787d1b166 |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad9d8108190b7251f293563a056 |
completed | May 13, 2026, 3:38 p.m. |
Created at: April 10, 2026, 11:38 a.m.