Triple
T18506301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shifty Jelly |
E452205
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | Pocket Weather |
—
|
NE NERFINISHED |
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: Pocket Weather | Statement: [Shifty Jelly, developed, Pocket Weather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pocket Weather Context triple: [Shifty Jelly, developed, Pocket Weather]
-
A.
Pocket Weather
chosen
Pocket Weather is a mobile weather application known for its detailed forecasts and polished design, developed by the Australian studio Shifty Jelly.
-
B.
Weather or Not
Weather or Not is a studio album by Los Angeles underground hip-hop artist Evidence, known for its introspective lyrics and atmospheric, sample-driven production.
-
C.
WeatherBeater
WeatherBeater is a Sears-exclusive brand known for offering durable, weather-resistant home improvement and exterior products.
-
D.
Yahoo Weather mobile app
Yahoo Weather mobile app is a smartphone application that provides localized weather forecasts and visually rich, photo-enhanced weather information powered by Yahoo’s data services.
-
E.
Wetter
"Wetter" is a popular 2009 hip hop and R&B single by American rapper Twista, known for its sensual lyrics and smooth, melodic production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334266708190b59aca3a2218c095 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.