Triple
T18503691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erick Sermon |
E452143
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Keith Murray |
—
|
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: Keith Murray | Statement: [Erick Sermon, associatedAct, Keith Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keith Murray Context triple: [Erick Sermon, associatedAct, Keith Murray]
-
A.
Keith Murray
chosen
Keith Murray is an American rapper known for his complex, lyrical style and work as a member of the Def Squad collective.
-
B.
Kevin Murray
Kevin Murray is a legendary Australian rules footballer best known for his long and decorated career with Fitzroy in the Victorian Football League, where he became one of the club’s most celebrated players.
-
C.
Kevin Murray
Kevin Murray is a former American football quarterback best known as the father of NFL quarterback Kyler Murray.
-
D.
Chris Murray
Chris Murray is a physician and health researcher best known for founding and directing the Institute for Health Metrics and Evaluation (IHME) and leading the Global Burden of Disease study.
-
E.
Ken Murray
Ken Murray was an American comedian, actor, and television host known for his work in vaudeville, film, and early TV variety shows.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.