Triple
T15418641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder Was the Case |
E369314
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Sam Sneed |
E377895
|
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: Sam Sneed | Statement: [Murder Was the Case, featuresArtist, Sam Sneed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Sneed Context triple: [Murder Was the Case, featuresArtist, Sam Sneed]
-
A.
Sam Sneed
chosen
Sam Sneed is an American hip hop producer and rapper best known for his work with Death Row Records in the 1990s.
-
B.
Floyd Sneed
Floyd Sneed was a Canadian drummer best known as a founding member of the rock band Three Dog Night.
-
C.
Sam Houser
Sam Houser is a British video game producer and co-founder of Rockstar Games, best known for leading the creation of the Grand Theft Auto series.
-
D.
Don Hood
Don Hood is an American actor known for his supporting roles in film and television, including an appearance in the legal thriller "The Last Innocent Man."
-
E.
Sam Burrows
Sam Burrows is best known as the husband of English singer-songwriter and podcaster Jessie Ware.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219fabe481909162baba9212ac1f |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.