Triple
T16826643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Uecker |
E409035
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Robert George Uecker |
E409035
|
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: Robert George Uecker | Statement: [Bob Uecker, birthName, Robert George Uecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert George Uecker Context triple: [Bob Uecker, birthName, Robert George Uecker]
-
A.
Bob Uecker
chosen
Bob Uecker is an American former Major League Baseball catcher who became a beloved, long-time Milwaukee Brewers broadcaster and humorist, widely known as “Mr. Baseball.”
-
B.
Dan Meuser
Dan Meuser is a Republican politician and businessman serving as a U.S. Representative from Pennsylvania.
-
C.
Ulric Ellerhusen
Ulric Ellerhusen was a German-American sculptor known for his architectural sculpture and public monuments in the early 20th century United States.
-
D.
Ray F. Evert
Ray F. Evert was an American botanist and plant anatomist known for his influential research and widely used textbooks on plant structure and development.
-
E.
Frank Klingebiel
Frank Klingebiel is a German local politician who serves as the long-time mayor of the city of Salzgitter in Lower Saxony.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31404c88190a3b2802842ca77eb |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb11f8708190ae762a28710e4246 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:23 a.m.