Triple
T19664862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Sidran |
E472173
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Leigh Kamman (radio collaboration context) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Leigh Kamman (radio collaboration context) | Statement: [Ben Sidran, associatedAct, Leigh Kamman (radio collaboration context)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leigh Kamman (radio collaboration context) Context triple: [Ben Sidran, associatedAct, Leigh Kamman (radio collaboration context)]
-
A.
Lerman
Lerman is a surname most notably associated with American actor Logan Lerman, known for roles in films such as the "Percy Jackson" series and "The Perks of Being a Wallflower."
-
B.
Carl Kasell
Carl Kasell was a longtime NPR newscaster and beloved radio personality best known for his role as the official judge and scorekeeper on the quiz show "Wait Wait... Don't Tell Me!"
-
C.
Camm
Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
-
D.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
E.
Laudenbach
Laudenbach is the family name of French actor Pierre Fresnay, a prominent figure in 20th-century French cinema and theatre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leigh Kamman (radio collaboration context) Target entity description: Leigh Kamman was an influential American radio broadcaster and jazz historian best known for his long-running jazz programs that helped document and popularize the genre.
-
A.
Lerman
Lerman is a surname most notably associated with American actor Logan Lerman, known for roles in films such as the "Percy Jackson" series and "The Perks of Being a Wallflower."
-
B.
Carl Kasell
Carl Kasell was a longtime NPR newscaster and beloved radio personality best known for his role as the official judge and scorekeeper on the quiz show "Wait Wait... Don't Tell Me!"
-
C.
Camm
Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
-
D.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
E.
Laudenbach
Laudenbach is the family name of French actor Pierre Fresnay, a prominent figure in 20th-century French cinema and theatre.
- F. None of above. chosen
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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416749d48190b141a6acd20c9694 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.