Triple
T13696119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weather or Not |
E328387
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Slug |
E920723
|
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: Slug | Statement: [Weather or Not, featuresArtist, Slug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slug Context triple: [Weather or Not, featuresArtist, Slug]
-
A.
Slug
chosen
Slug is an American underground hip hop MC best known as the frontman of Atmosphere and co-founder of the Rhymesayers Entertainment label.
-
B.
Slimey the Worm
Slimey the Worm is Oscar the Grouch’s friendly pet worm on Sesame Street, known for his curious and kind-hearted personality.
-
C.
Scarub
Scarub is an American underground hip-hop artist best known as a member of the Los Angeles collective Living Legends.
-
D.
Gliz
Gliz is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing winter sports and Olympic spirit.
-
E.
Gliz
Gliz is one of the official mascots of the 2006 Winter Olympics in Turin, Italy, depicted as a stylized anthropomorphic ice cube symbolizing winter sports and modernity.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4f35888190b2c3df62bde1ce6e |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.