Triple
T5085676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerie |
E114631
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | George White |
E409265
|
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: George White | Statement: [Valerie, editor, George White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George White Context triple: [Valerie, editor, George White]
-
A.
George White
chosen
George White was a film editor active in mid-20th-century American cinema, known for his work on classic Hollywood productions.
-
B.
George White
George White was a British Army general best known for commanding the garrison during the Siege of Ladysmith in the Second Boer War.
-
C.
Joe Williams
Joe Williams was a renowned American jazz and blues singer best known for his powerful baritone voice and celebrated recordings with the Count Basie Orchestra.
-
D.
Jimmy Dorsey
Jimmy Dorsey was an American jazz clarinetist, saxophonist, composer, and big band leader who became one of the most popular bandleaders of the Swing Era.
-
E.
Bert Williams
Bert Williams was a pioneering African American vaudeville and Broadway comedian, singer, and actor who became one of the most famous and influential entertainers of the early 20th century.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd751db4f4819088b998d7af0e6f41 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb13fd3a88190b5a665ba56fdd455 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:40 p.m.