Triple
T15134438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telefone |
E361514
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sunny Duet |
E1137938
|
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: Sunny Duet | Statement: [Telefone, hasTrack, Sunny Duet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunny Duet Context triple: [Telefone, hasTrack, Sunny Duet]
-
A.
Sunny Duet
chosen
"Sunny Duet" is a mellow, jazz-infused R&B track by Noname featuring theMIND, known for its introspective lyrics and laid-back groove.
-
B.
Sunny Hunny
Sunny Hunny is the cheerful seaside nickname for the Norfolk coastal town of Hunstanton, known for its sunny weather and popular beach.
-
C.
Duet
Duet is a hand-drawn animated short film by legendary Disney animator Glen Keane, celebrated for its fluid, lyrical depiction of two characters growing up and intertwining over time.
-
D.
Duet
Duet is an American television sitcom best known for starring Chris Lemmon in a comedic look at the romantic and professional lives of young adults.
-
E.
Shwaas
Shwaas is a critically acclaimed Marathi-language film known for its poignant portrayal of a grandfather’s struggle to save his grandson’s eyesight, which brought renewed national attention to Marathi cinema.
- 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.