Triple
T13735169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relayted |
E329923
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | No Sweat |
E329927
|
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: No Sweat | Statement: [Relayted, hasPart, No Sweat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Sweat Context triple: [Relayted, hasPart, No Sweat]
-
A.
No Sweat
chosen
"No Sweat" is a smooth, soft-rock-inspired track by the indie supergroup Gayngs, showcasing their signature mellow, atmospheric sound.
-
B.
No Sweat
"No Sweat" is a song by Canadian singer-songwriter Jessie Reyez, showcasing her distinctive soulful vocals and emotionally raw lyricism.
-
C.
Sweat
Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
-
D.
Sweat
"Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
-
E.
Sweat
"Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.