Triple
T20173974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consumer Reports |
E492041
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Arthur Kallet |
—
|
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: Arthur Kallet | Statement: [Consumer Reports, founder, Arthur Kallet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Kallet Context triple: [Consumer Reports, founder, Arthur Kallet]
-
A.
Arthur Kallet
chosen
Arthur Kallet was an American engineer, consumer advocate, and co-founder of the influential product-testing magazine Consumer Reports.
-
B.
Max Schaefer
Max Schaefer is an author best known for his work on the fantasy action role-playing game series Torchlight.
-
C.
Chet Huntley
Chet Huntley was a prominent American television newscaster best known as one half of the influential NBC evening news team "The Huntley–Brinkley Report" during the 1950s and 1960s.
-
D.
Lew Klein
Lew Klein was an influential American television executive, producer, and educator who helped shape local TV news and mentored generations of broadcast journalists.
-
E.
Max Liebman
Max Liebman was an influential American television producer and director, best known as a pioneer of live TV sketch comedy in the early 1950s.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.