Triple
T7480083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Lumsden |
E176728
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sugar Rush
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.
|
E666640
|
NE FINISHED |
How this triple was built (4 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: [Richard Lumsden, notableWork, Sugar Rush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Rush Context triple: [Richard Lumsden, notableWork, Sugar Rush]
-
A.
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.
-
B.
Sweetener
Sweetener is Ariana Grande's critically acclaimed fourth studio album, noted for its blend of pop and R&B with innovative production and themes of healing and empowerment.
-
C.
Candy Ferocity
Candy Ferocity is a fictional main character known for her bold, flamboyant persona and striking, high-energy presence.
-
D.
Cotton Candy
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
-
E.
Sweet Treat
"Sweet Treat" is a song featured on the album *Knock Knock*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sugar Rush Triple: [Richard Lumsden, notableWork, Sugar Rush]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sugar Rush Target entity description: 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.
-
A.
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.
-
B.
Sweetener
Sweetener is Ariana Grande's critically acclaimed fourth studio album, noted for its blend of pop and R&B with innovative production and themes of healing and empowerment.
-
C.
Candy Ferocity
Candy Ferocity is a fictional main character known for her bold, flamboyant persona and striking, high-energy presence.
-
D.
Cotton Candy
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
-
E.
Sweet Treat
"Sweet Treat" is a song featured on the album *Knock Knock*.
- F. None of above. chosen
Provenance (5 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83493f0988190b8c569d34bbe2817 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835cf7a58819095ed79b84f935a84 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8366b2fcc8190bd8b07a54a848721 |
completed | March 28, 2026, 8:13 p.m. |
Created at: March 27, 2026, 3:42 p.m.