Triple
T20311293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bury Me |
E510250
|
entity |
| Predicate | hasGuestVocalist |
P44280
|
FINISHED |
| Object | Maria McKee |
—
|
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: Maria McKee | Statement: [Bury Me, hasGuestVocalist, Maria McKee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria McKee Context triple: [Bury Me, hasGuestVocalist, Maria McKee]
-
A.
Maria McKee
chosen
Maria McKee is an American singer-songwriter and founding member of the cowpunk band Lone Justice, known for her powerful vocals and genre-blending solo work.
-
B.
Maureen McDonald
Maureen McDonald is a writer best known for her work on the animated television series "Thunder."
-
C.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
D.
Grace McKee
Grace McKee is the central protagonist of the film "State of Grace," around whom the story’s main conflicts and character dynamics revolve.
-
E.
Kathleen McCrone
Kathleen McCrone is an American attorney best known as the wife of longtime Las Vegas entertainer Wayne Newton.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677441f9c8190acf98dc92c77732b |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:19 a.m.