Triple
T10261643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor |
E240612
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dance with Me |
E378342
|
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: [Survivor, hasPart, Dance with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dance with Me Context triple: [Survivor, hasPart, Dance with Me]
-
A.
Dance with Me
chosen
"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.
-
B.
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.
-
C.
Dance for You
"Dance for You" is an R&B song by The-Dream, known for its sensual slow-jam style and smooth, intimate production.
-
D.
Come Dance with Me
"Come Dance with Me" is a song by the American pop rock group Jay and the Americans, known for its classic 1960s vocal harmony style.
-
E.
Could I Have This Dance
"Could I Have This Dance" is a popular country love song recorded by Canadian singer Anne Murray, widely known for its appearance in the film Urban Cowboy and its success on the country music charts.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:32 a.m.