Triple
T14702954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanellope von Schweetz |
E345353
|
entity |
| Predicate | homeWorld |
P4624
|
FINISHED |
| Object | Sugar Rush |
E1115755
|
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: [Vanellope von Schweetz, homeWorld, Sugar Rush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Rush Context triple: [Vanellope von Schweetz, homeWorld, Sugar Rush]
-
A.
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.
-
B.
Sugar Rush
chosen
Sugar Rush is a candy-themed kart racing video game world featured in Disney's animated film "Wreck-It Ralph."
-
C.
Sweet Rush
Sweet Rush is a musical artist known for collaborating on the song "Freedom."
-
D.
Sugar Run
Sugar Run is a stream that feeds Sugar Run Falls, a waterfall known for its scenic natural setting.
-
E.
"Sugar Rush"
"Sugar Rush" is a pop song by the British-Norwegian boy band A1, known for its catchy, upbeat melody and romantic lyrics.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8221a4819098937018f24a0b44 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.