Triple
T20201011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circle of One |
E493216
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dave Bascombe |
—
|
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: Dave Bascombe | Statement: [Circle of One, producer, Dave Bascombe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Bascombe Context triple: [Circle of One, producer, Dave Bascombe]
-
A.
Dave Bascombe
chosen
Dave Bascombe is a British record producer and mixing engineer known for his work with prominent rock and pop artists, including Tears for Fears.
-
B.
Ted Bessell
Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
-
C.
Ed Drewett
Ed Drewett is a British singer-songwriter best known for co-writing major pop hits for artists such as One Direction, Little Mix, and The Wanted.
-
D.
David Baulcombe
David Baulcombe is a British plant scientist renowned for his pioneering work on RNA silencing and gene regulation in plants.
-
E.
Edward Bass
Edward Bass is an American businessman and philanthropist best known for financing large-scale environmental and scientific projects, including the Biosphere 2 research facility.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8d01648190b1b3a6e03f0258d8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.