Triple
T4042834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank White |
E83992
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Frank White |
E83992
|
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: Frank White | Statement: [Frank White, name, Frank White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank White Context triple: [Frank White, name, Frank White]
-
A.
Frank White
chosen
Frank White is a former Major League Baseball second baseman renowned for his defensive excellence and multiple Gold Glove Awards with the Kansas City Royals.
-
B.
Frank White
Frank White is an alias of The Notorious B.I.G., the influential Brooklyn-born rapper widely regarded as one of the greatest figures in hip-hop history.
-
C.
Nicholas Sagan
Nicholas Sagan is the son of science communicator Ann Druyan and famed astronomer Carl Sagan.
-
D.
Edward M. Wright
Edward M. Wright was a British mathematician best known as the co-author, with G. H. Hardy, of the classic textbook "An Introduction to the Theory of Numbers."
-
E.
Robert Wisdom
Robert Wisdom is an American actor best known for his role as Major Howard "Bunny" Colvin on the television series "The Wire."
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5b65c08190ba3f340ed18737f8 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564d0fb881909ba645714be27b95 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.