Triple
T14908322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Dippin' |
E371193
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jewell |
E1127079
|
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: Jewell | Statement: [Just Dippin', performer, Jewell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jewell Context triple: [Just Dippin', performer, Jewell]
-
A.
Jewell
Jewell is a surname most notably associated with Sally Jewell, the former U.S. Secretary of the Interior and business executive.
-
B.
Jewell
chosen
Jewell was an American R&B singer best known for her work with Death Row Records in the 1990s, contributing vocals to numerous West Coast hip-hop tracks.
-
C.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
-
D.
Kimberly
Kimberly is a small city located in Idaho’s Magic Valley region, known for its agricultural surroundings and close proximity to Twin Falls.
-
E.
Jade Calegory
Jade Calegory is an American former child actor best known for playing the wheelchair-using protagonist Eric Cruise in the 1988 science fiction film "Mac and Me."
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61b3c808190b4f6df4e5cb401ad |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bcf32a48190b1f036016f2689b7 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:25 a.m.