Triple
T13472545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Bradbeer |
E318164
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Sugar Rush |
E666640
|
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: Sugar Rush | Statement: [Harry Bradbeer, directed, Sugar Rush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Rush Context triple: [Harry Bradbeer, directed, Sugar Rush]
-
A.
Sugar Rush
chosen
Sugar Rush is a British television drama series, based on Julie Burchill’s novel, that follows the coming-of-age and romantic entanglements of a teenage girl in Brighton.
-
B.
Sweet Rush
Sweet Rush is a musical artist known for collaborating on the song "Freedom."
-
C.
Sugar Run
Sugar Run is a stream that feeds Sugar Run Falls, a waterfall known for its scenic natural setting.
-
D.
Sweet Candy
Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
-
E.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7547f6b1c8190965b239da0b47e93 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.