Triple
T6738651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonny and Cher |
E154021
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | The Beat Goes On |
E615075
|
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: The Beat Goes On | Statement: [Sonny and Cher, notableSong, The Beat Goes On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Beat Goes On Context triple: [Sonny and Cher, notableSong, The Beat Goes On]
-
A.
The Beat Goes On
chosen
"The Beat Goes On" is a 1967 pop song by Sonny & Cher, known for its distinctive bass line and commentary on changing social trends.
-
B.
It Just Don't Stop
"It Just Don't Stop" is a track by hip-hop group The Roots from their acclaimed 1996 album "Illadelph Halflife."
-
C.
Keep Right On
"Keep Right On" is a traditional football anthem passionately sung by Birmingham City F.C. supporters as a symbol of loyalty and perseverance.
-
D.
Don’t Stop
"Don’t Stop" is a track by Snoop Dogg featured on his 2006 studio album *Tha Blue Carpet Treatment*.
-
E.
Keep On Keepin’ On
Keep On Keepin’ On is a track from the progressive rock band Saga, featured as part of their concept album series The Human Condition.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a1aa948190b3e191c7be48ac0e |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:10 p.m.