Triple
T17880517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hopscotch |
E447070
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ian Fraser |
—
|
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: Ian Fraser | Statement: [Hopscotch, musicBy, Ian Fraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Fraser Context triple: [Hopscotch, musicBy, Ian Fraser]
-
A.
Ian Fraser
chosen
Ian Fraser was an Emmy-winning British composer, conductor, and musical director known for his extensive work in film, television, and stage productions.
-
B.
John Fraser
John Fraser was a Scottish actor known for his roles in British cinema and television from the 1950s onward.
-
C.
John Malcolm Fraser
John Malcolm Fraser was an Australian politician who served as the 22nd Prime Minister of Australia from 1975 to 1983, leading the Liberal Party.
-
D.
Ian McDougall
Ian McDougall is an Australian architect best known as a founding director of the influential firm Ashton Raggatt McDougall (ARM), recognized for its bold and unconventional public architecture.
-
E.
Ronald Fraser
Ronald Fraser was a British character actor known for his distinctive gruff charm and prolific work in film, television, and theatre from the 1950s through the 1980s.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.