Triple
T16722848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madvillainy |
E406391
|
entity |
| Predicate | hasCoverArtBy |
P5936
|
FINISHED |
| Object | Jeff Jank |
E1037949
|
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: Jeff Jank | Statement: [Madvillainy, hasCoverArtBy, Jeff Jank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Jank Context triple: [Madvillainy, hasCoverArtBy, Jeff Jank]
-
A.
Jeff Jank
chosen
Jeff Jank is a graphic artist best known for his distinctive album cover designs, particularly within the independent hip-hop scene.
-
B.
Steve Jankowski
Steve Jankowski is an American musician and trumpeter known for his work with bands such as Chicago and Blood, Sweat & Tears.
-
C.
Andy Jurgensen
Andy Jurgensen is a film editor known for his work on acclaimed movies such as Licorice Pizza.
-
D.
Greg Ganske
Greg Ganske is an American plastic surgeon and Republican politician who represented Iowa in the U.S. House of Representatives from 1995 to 2003.
-
E.
Jeff Sauer
Jeff Sauer was a highly respected American ice hockey coach and administrator, best known for his long and successful collegiate coaching career and influential contributions to USA Hockey.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e387449eb08190b174f8e142ea631b |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012327b68881908ad5f4e2fe03f56a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:20 a.m.