Triple
T15088059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Kaufman |
E360333
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kaufman |
E490507
|
NE FINISHED |
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: Kaufman | Statement: [Rosa Kaufman, familyName, Kaufman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaufman Context triple: [Rosa Kaufman, familyName, Kaufman]
-
A.
Kaufman
chosen
Kaufman is a surname most famously associated with American playwright and director George S. Kaufman, known for his sharp wit and influential contributions to 20th-century theater.
-
B.
Kaufman
Kaufman is a small suburban city within the Dallas–Fort Worth metropolitan area in Texas, known for its rural character and proximity to the larger urban core.
-
C.
Kaufmann
Kaufmann is a German surname borne by numerous individuals, including the renowned operatic tenor Jonas Kaufmann.
-
D.
Kaminsky
Kaminsky is the original family surname of American entertainer Danny Kaye, born David Daniel Kaminsky.
-
E.
Korman
Korman is a surname most famously associated with American comedic actor Harvey Korman, known for his work on The Carol Burnett Show and in Mel Brooks films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:03 a.m.