Triple
T21733901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Awakening |
E536472
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Kid Capri |
—
|
NE NERFINISHED |
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: Kid Capri | Statement: [The Awakening, featuresArtist, Kid Capri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kid Capri Context triple: [The Awakening, featuresArtist, Kid Capri]
-
A.
Kid Capri
chosen
Kid Capri is an American DJ, producer, and rapper renowned for his influential mixtapes and energetic live performances in hip-hop.
-
B.
Ava Capri
Ava Capri is an American actress known for her roles in teen and young adult films and series, including the dark comedy "Do Revenge."
-
C.
Rivarone
Rivarone is a small municipality in the Piedmont region of northern Italy, located in the Province of Alessandria.
-
D.
Gigli
Gigli is a 2003 romantic comedy crime film starring Ben Affleck and Jennifer Lopez that became widely known as a critical and commercial failure.
-
E.
Sweet Marie
Sweet Marie is the titular woman addressed in Bob Dylan’s song “Absolutely Sweet Marie,” serving as the elusive, symbolic love interest at the center of the lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd09852c8190b3486c09f22ef92b |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.