Triple
T19546383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheb Wooley |
E489063
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sheb Wooley |
—
|
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: Sheb Wooley | Statement: [Sheb Wooley, name, Sheb Wooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheb Wooley Context triple: [Sheb Wooley, name, Sheb Wooley]
-
A.
Sheb Wooley
chosen
Sheb Wooley was an American actor and country-western singer best known for his roles in Western films and for recording the novelty hit song "The Purple People Eater."
-
B.
Bobby Helms
Bobby Helms was an American country singer best known for his enduring Christmas hit "Jingle Bell Rock."
-
C.
Alan Dinehart
Alan Dinehart was an American character actor of the early 20th century known for his supporting roles in numerous Hollywood films.
-
D.
Jimmie Rogers
Jimmie Rogers was an American country singer and songwriter known for his work with the group The First Edition and for hits like "Honeycomb" and "Kisses Sweeter Than Wine."
-
E.
Joe Williams
Joe Williams is a cinematographer best known for his work on the comedy film "Coming 2 America."
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.