Triple
T954324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clement |
E20592
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Clemens |
E14886
|
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: Clemens | Statement: [Clement, hasVariant, Clemens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clemens Context triple: [Clement, hasVariant, Clemens]
-
A.
Clemens
chosen
Clemens is the birth surname of American author Samuel Langhorne Clemens, better known by his pen name Mark Twain.
-
B.
Luis Tiant
Luis Tiant is a former Major League Baseball pitcher, best known for his distinctive delivery and standout seasons in the 1960s and 1970s, particularly with the Boston Red Sox.
-
C.
David Cone
David Cone is a former Major League Baseball pitcher and five-time World Series champion who now works as a prominent television baseball analyst.
-
D.
Nolan Ryan
Nolan Ryan is a legendary Major League Baseball pitcher renowned for his record-setting strikeout totals and seven no-hitters over a 27-year career.
-
E.
Jim Palmer
Jim Palmer is a Hall of Fame former Baltimore Orioles pitcher who later became a prominent television baseball commentator.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3da8d508190b56b29d7f235d2c4 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac25845f588190b0f60754636a88d0 |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:40 p.m.