Triple
T19790158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boney M. |
E475388
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sunny |
—
|
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: Sunny | Statement: [Boney M., notableWork, Sunny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunny Context triple: [Boney M., notableWork, Sunny]
-
A.
Sunny
Sunny is one of the Obama family’s pet dogs, a female Portuguese Water Dog who lived with them in the White House.
-
B.
Sunny
chosen
"Sunny" is a soul-jazz instrumental track by Booker T. & the M.G.'s featured on their 1967 album *Hip Hug-Her*, known for its grooving organ-led arrangement.
-
C.
Sunny
"Sunny" is a 1925 Broadway musical comedy with music by Jerome Kern that became one of his popular stage successes of the era.
-
D.
Sunny
Sunny Sandler is an American child actress and the daughter of comedian and actor Adam Sandler.
-
E.
Sunny
Sunny is a central character in the crime drama "8 Million Ways to Die," serving as a key figure in the film’s gritty narrative of murder, addiction, and moral ambiguity.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.