Triple
T15019640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakdown |
E378049
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Derek Brechin |
E598481
|
NE FINISHED |
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: Derek Brechin | Statement: [Breakdown, editedBy, Derek Brechin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Brechin Context triple: [Breakdown, editedBy, Derek Brechin]
-
A.
Derek Brechin
chosen
Derek Brechin is a film editor best known for his work on the action movie "Romeo Must Die."
-
B.
Martin Dougan
Martin Dougan is a Scottish television presenter and former wheelchair basketball player best known for his work on the BBC children's news programme Newsround.
-
C.
Jay Beattie
Jay Beattie is a television writer and producer best known for his work on genre series, including serving as a developer of the horror TV continuation of the Scream franchise.
-
D.
Ben Cronin
Ben Cronin is the high school swimming star and central protagonist whose life unravels after a dangerous obsession forms around him in the thriller film "Swimfan."
-
E.
Scott Devine
Scott Devine is a technology entrepreneur best known as one of the co-founders of VMware, a pioneering company in virtualization and cloud computing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae09dca88190a832e1b068252137 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:56 a.m.