Triple
T19200696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Curtis and the All-Stars |
E470097
|
entity |
| Predicate | hasFrontman |
P22076
|
FINISHED |
| Object | Lee Curtis |
—
|
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: Lee Curtis | Statement: [Lee Curtis and the All-Stars, hasFrontman, Lee Curtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Curtis Context triple: [Lee Curtis and the All-Stars, hasFrontman, Lee Curtis]
-
A.
Lee Curtis
chosen
Lee Curtis is a British rock and roll singer best known as the frontman of the 1960s Merseybeat band Lee Curtis and the All-Stars.
-
B.
Grant Curtis
Grant Curtis is a film producer known for his work on genre movies, including collaborations with director Sam Raimi such as the horror film "Drag Me to Hell."
-
C.
Donald Curtis
Donald Curtis was an American actor and occasional writer best known for his roles in mid-20th-century science fiction and adventure films.
-
D.
Mike Buddie
Mike Buddie is a collegiate athletics administrator best known for serving as the athletic director at the United States Military Academy at West Point.
-
E.
Scott Curtis
Scott Curtis is an American former child actor best known for his role in the 1988 horror film "Cameron’s Closet."
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f997879c8190ae7618d1ba0cede9 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 10, 2026, 12:07 p.m.