Triple
T21554255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckstein |
E531844
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Eckstine |
—
|
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: Eckstine | Statement: [Eckstein, hasVariant, Eckstine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eckstine Context triple: [Eckstein, hasVariant, Eckstine]
-
A.
Eckstine
chosen
Eckstine is the surname of Billy Eckstine, the influential American jazz and pop singer and bandleader known for his rich baritone voice and pioneering big band.
-
B.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
C.
Stekel
Stekel is a surname most notably associated with Wilhelm Stekel, an Austrian physician and early psychoanalyst who was one of Sigmund Freud’s first followers.
-
D.
Eckart
Eckart is a German surname most notably associated with Dietrich Eckart, an early 20th-century nationalist writer and influential figure in the rise of Nazism.
-
E.
Alaskey
Alaskey is the surname of Joe Alaskey, an American voice actor best known for portraying iconic Looney Tunes characters such as Bugs Bunny and Daffy Duck.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2de1c248190b303a4a55b022374 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.