Triple
T22594809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtis Callan |
E574645
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | 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: Curtis | Statement: [Curtis Callan, givenName, Curtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curtis Context triple: [Curtis Callan, givenName, Curtis]
-
A.
Curtis
chosen
Curtis is a common English surname of Norman origin, historically meaning "courteous" or "polite."
-
B.
Curtis
Curtis Mayfield was an influential American soul and funk singer, songwriter, guitarist, and record producer known for his socially conscious music and work with The Impressions as well as his solo career.
-
C.
Curtis
Curtis is a character in "The Blues Brothers" who serves as a fatherly mentor figure to Jake and Elwood Blues, guiding them with wisdom and musical inspiration.
-
D.
Curtis
Curtis is a charismatic, risk-taking gambler who serves as one of the two central protagonists in the road-movie drama "Mississippi Grind."
-
E.
Curt
Curt is the given name of Curt Bisquera, an American session drummer known for his work with numerous prominent recording artists.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16164d690819096f7c4efb6cedad9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:49 p.m.