Triple
T19268350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack & Sarah |
E481849
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ray Burdis |
—
|
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: Ray Burdis | Statement: [Jack & Sarah, producer, Ray Burdis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Burdis Context triple: [Jack & Sarah, producer, Ray Burdis]
-
A.
Ray Burdis
chosen
Ray Burdis is a British actor, screenwriter, director, and film producer known for his work on gritty crime dramas and independent UK films.
-
B.
Richard Burrell
Richard Burrell is a British television producer best known for his work as an executive producer on the long-running BBC crime drama series "New Tricks."
-
C.
Ray Embrey
Ray Embrey is a well-meaning public relations consultant who helps rehabilitate the image of the troubled superhero in the film "Hancock."
-
D.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
E.
Ray Fiske
Ray Fiske is a high-powered corporate attorney and key antagonist in the legal thriller TV series "Damages."
- 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.