Triple
T3046773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogi Berra |
E83467
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Dale Berra |
E118549
|
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: Dale Berra | Statement: [Yogi Berra, child, Dale Berra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dale Berra Context triple: [Yogi Berra, child, Dale Berra]
-
A.
Dale Berra
chosen
Dale Berra is a former Major League Baseball infielder best known as the son of Hall of Famer Yogi Berra and for his playing career with teams like the Pittsburgh Pirates and New York Yankees.
-
B.
Larry Berra
Larry Berra is one of the sons of Hall of Fame New York Yankees catcher and famed baseball personality Yogi Berra.
-
C.
Tim Berra
Tim Berra is one of the sons of Hall of Fame baseball catcher Yogi Berra and has been involved in preserving and promoting his father's legacy.
-
D.
Yogi Berra
Yogi Berra was a Hall of Fame catcher and beloved American baseball icon known for his ten World Series championships and famously witty "Yogi-isms."
-
E.
Carmen Berra
Carmen Berra was the longtime wife of Baseball Hall of Famer Yogi Berra and a prominent figure in preserving his legacy and supporting charitable causes.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bad11b48190a5bd01e91a320e14 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276d6aaec8190b741e58790c4af23 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 8, 2026, 3:01 p.m.