Triple
T23152779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Candy |
E578363
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Harry Escott |
—
|
NE NERFINISHED |
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: Harry Escott | Statement: [Hard Candy, musicBy, Harry Escott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Escott Context triple: [Hard Candy, musicBy, Harry Escott]
-
A.
Harry Escott
chosen
Harry Escott is a British film composer known for his atmospheric and emotionally driven scores for films such as "Shame."
-
B.
Harry Stott
Harry Stott is a British actor and former child performer best known for playing Oliver Twist in the West End production of "Oliver!" after winning the role on the BBC talent show "I'd Do Anything."
-
C.
Henry Scudder
Henry Scudder was a 17th-century English clergyman and devotional writer known for his influential Puritan work "The Christian's Daily Walk."
-
D.
Harry Cunningham
Harry Cunningham is a forensic pathologist and key character in the British crime drama series "Silent Witness," known for working closely with Dr. Nikki Alexander on complex murder investigations.
-
E.
Harry Hendon
Harry Hendon is a software developer known for creating the RMM1 system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.