Triple
T16639496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makeba Riddick |
E404292
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “Caught Up” |
E1034312
|
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: “Caught Up” | Statement: [Makeba Riddick, notableWork, “Caught Up”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Caught Up” Context triple: [Makeba Riddick, notableWork, “Caught Up”]
-
A.
Caught Up
"Caught Up" is a soulful R&B track by John Legend from his album *Love in the Future*, showcasing his smooth vocals and romantic, introspective lyricism.
-
B.
Caught Up
chosen
"Caught Up" is an R&B song by Usher from his 2004 album *Confessions*, known for its upbeat tempo and themes of being unexpectedly overwhelmed by love.
-
C.
"Caught Up in the Rapture"
"Caught Up in the Rapture" is a smooth, jazz-inflected R&B ballad by Anita Baker that became one of her signature hits in the mid-1980s.
-
D.
“Get Carried Away”
“Get Carried Away” is a promotional slogan used by the Cleveland International Film Festival to capture the immersive, transporting experience of its film programming.
-
E.
Catch Up
"Catch Up" is a track by American rapper Ludacris featured on his debut studio album "Back for the First Time."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37acff38081908c8044936b794ce0 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc41638819090e967ade46d35a4 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:18 a.m.