Triple
T19268358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack & Sarah |
E481849
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Simon Boswell |
—
|
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: Simon Boswell | Statement: [Jack & Sarah, musicBy, Simon Boswell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Boswell Context triple: [Jack & Sarah, musicBy, Simon Boswell]
-
A.
Simon Boswell
chosen
Simon Boswell is a British film composer best known for his eclectic, atmospheric scores for cult horror, science fiction, and independent films.
-
B.
Sean Boswell
Sean Boswell is the American teenage street racer who serves as the main protagonist in the film "The Fast and the Furious: Tokyo Drift."
-
C.
John Brodie
John Brodie was a British civil engineer best known for his major infrastructure projects in Liverpool, including pioneering road tunnels and urban planning innovations.
-
D.
John Brodie
John Brodie is a former San Francisco 49ers quarterback who became a prominent American football television commentator.
-
E.
Andrew Boswell
Andrew Boswell is a music producer best known for his work on the hit song "Walking on Sunshine."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.