Triple
T22389752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Raise Me Up |
E553482
|
entity |
| Predicate | notableCoverPerformer |
P17435
|
FINISHED |
| Object | Josh Groban |
—
|
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: Josh Groban | Statement: [You Raise Me Up, notableCoverPerformer, Josh Groban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Groban Context triple: [You Raise Me Up, notableCoverPerformer, 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.
Tal Bachman
Tal Bachman is a Canadian singer-songwriter best known for his late-1990s hit single "She's So High."
-
C.
Groban
Groban is an archaeological site on the Scottish island of Westray, known for its prehistoric remains that shed light on early settlement in the Orkney archipelago.
-
D.
David Archuleta
David Archuleta is an American pop singer and songwriter who rose to fame as the runner-up on the seventh season of "American Idol."
-
E.
Alan Willis Thicke
Alan Willis Thicke was a Canadian actor, songwriter, and television host best known for his role as Jason Seaver on the sitcom "Growing Pains."
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.