Triple
T16098740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock Around the Clock |
E390556
|
entity |
| Predicate | saxophonist |
P12601
|
FINISHED |
| Object | Joey Ambrose |
E393300
|
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: Joey Ambrose | Statement: [Rock Around the Clock, saxophonist, Joey Ambrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Ambrose Context triple: [Rock Around the Clock, saxophonist, Joey Ambrose]
-
A.
Joey Ambrose
chosen
Joey Ambrose was an American saxophonist best known for his work with the pioneering rock and roll band Bill Haley & His Comets during the 1950s.
-
B.
Joey Gioeli
Joey Gioeli is an American musician best known as a founding member and guitarist of the hard rock band Hardline.
-
C.
Joey Marin
Joey Marin is the son of American comedian and actor Cheech Marin, best known as half of the stoner comedy duo Cheech & Chong.
-
D.
Joey Wells
Joey Wells is a screenwriter best known for co-writing the comedy film "Night School."
-
E.
Joey Wells
Joey Wells is a comedian and writer known for his collaborations with Kevin Hart, including appearances in Hart’s stand-up specials and related projects.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6672848190922b5ebb90e18947 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79a96d08190af69cbb18037f66e |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:59 a.m.