Triple
T9378461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reprise Records |
E225713
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Josh Groban |
E202105
|
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: Josh Groban | Statement: [Reprise Records, hasArtist, Josh Groban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Groban Context triple: [Reprise Records, hasArtist, Josh Groban]
-
A.
Josh Groban
chosen
Josh Groban is an American singer, songwriter, and actor known for his powerful baritone voice and crossover classical-pop ballads.
-
B.
Gavin DeGraw
Gavin DeGraw is an American singer-songwriter best known for his soulful pop-rock hits like "I Don't Want to Be" and "Chariot."
-
C.
David Alagna
David Alagna is a French composer and stage director known for his work in opera, including collaborations with his brother, tenor Roberto Alagna.
-
D.
Jason Mraz
Jason Mraz is an American singer-songwriter known for his laid-back acoustic pop style and hit songs like "I'm Yours" and "I Won't Give Up."
-
E.
Michael Bublé
Michael Bublé is a Canadian singer and songwriter renowned for his smooth vocals and modern interpretations of traditional pop and jazz standards.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50ac8aec8190a386c525e9cab7b1 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f42a048081909012052e3dc77598 |
completed | April 4, 2026, 11:21 a.m. |
Created at: March 30, 2026, 7:44 p.m.