Triple
T5071389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Swingers |
E114286
|
entity |
| Predicate | releasedSingle |
P49151
|
FINISHED |
| Object | Counting the Beat |
E491468
|
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: Counting the Beat | Statement: [The Swingers, releasedSingle, Counting the Beat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Counting the Beat Context triple: [The Swingers, releasedSingle, Counting the Beat]
-
A.
Counting the Beat
chosen
"Counting the Beat" is a catchy 1981 new wave pop song by New Zealand band The Swingers that became a major hit in Australasia.
-
B.
Jump to the Beat
"Jump to the Beat" is an early-1980s dance-pop/R&B song by American singer Stacy Lattisaw that became one of her signature hits.
-
C.
You Can’t Stop the Beat
"You Can’t Stop the Beat" is the high-energy, show-stopping finale number from the musical *Hairspray*, celebrated for its upbeat tempo and themes of joy, inclusion, and social change.
-
D.
Rockin to the Beat
"Rockin to the Beat" is a track by the Black Eyed Peas featured on their 2009 electro-pop and dance-oriented album *The E.N.D.*
-
E.
Count Them In
Count Them In is a Royal British Legion campaign aimed at improving recognition and support for the UK Armed Forces community, particularly through better data collection and representation.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74ce140881909a2874663244c0db |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec35c629c81909c3b0347861d544f |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:39 p.m.