Triple
T15134439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telefone |
E361514
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Diddy Bop |
E1137939
|
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: Diddy Bop | Statement: [Telefone, hasTrack, Diddy Bop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diddy Bop Context triple: [Telefone, hasTrack, Diddy Bop]
-
A.
Diddy Bop
chosen
"Diddy Bop" is a laid-back, jazz-infused hip-hop track by Noname, known for its nostalgic lyrics and smooth, melodic production on her mixtape *Telefone*.
-
B.
Bop Daddy
Bop Daddy is a popular hip-hop/afrobeats song by Nigerian rapper Falz, known for its catchy hook and playful, swagger-filled lyrics.
-
C.
Hellzapoppin'
Hellzapoppin' is a 1941 American musical comedy film, based on the hit Broadway revue, known for its anarchic humor, breaking of the fourth wall, and influential swing-era dance sequences.
-
D.
Bip Bop
"Bip Bop" is a light, playful song by Paul McCartney from his 1971 album *Wild Life* with Wings.
-
E.
Boogie
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe8802c81909af9dd11a7805f31 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.