Triple
T10047936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ba Bump |
E207664
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Monkey Business |
E39416
|
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: Monkey Business | Statement: [Ba Bump, album, Monkey Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monkey Business Context triple: [Ba Bump, album, Monkey Business]
-
A.
Monkey Business
chosen
"Monkey Business" is a 2005 hip hop and pop-rap studio album by the Black Eyed Peas that features several commercially successful singles and collaborations.
-
B.
Monkey Business
"Monkey Business" is a popular hard rock song by the American band Skid Row, known for its heavy riffs and prominent presence in early 1990s rock music.
-
C.
Monkey Business
Monkey Business is a musical work associated with DJ Motivate, likely a DJ/producer-driven track or project within the electronic or club music scene.
-
D.
Monkey Business
Monkey Business is a notable work associated with Toni Vega, recognized within his body of artistic output.
-
E.
Monkey Business
Monkey Business is a 1952 screwball comedy film directed by Howard Hawks, best known for starring Cary Grant, Ginger Rogers, and Marilyn Monroe in a zany story about a youth-restoring formula gone awry.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3003098c0819093da30f98438680f |
completed | April 6, 2026, 12:37 a.m. |
Created at: March 30, 2026, 8:56 p.m.