Triple
T17664233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Beckley |
E440330
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | John James Beckley |
—
|
NE NERFINISHED |
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: John James Beckley | Statement: [Alfred Beckley, parent, John James Beckley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John James Beckley Context triple: [Alfred Beckley, parent, John James Beckley]
-
A.
John James Beckley
chosen
John James Beckley was an early American political figure best known as the first Librarian of Congress and a pioneering political campaign manager in the United States.
-
B.
Benjamin K. Humphreys
Benjamin K. Humphreys was a U.S. Army officer and engineer whose service and contributions to the military led to a major American base in South Korea being named in his honor.
-
C.
William S. Beasley
William S. Beasley is a television producer best known for his work on the classic 1970s cop series "Starsky & Hutch."
-
D.
John M. Bevan
John M. Bevan was an American educator best known for founding Eckerd College in Florida.
-
E.
Thomas H. Beck
Thomas H. Beck was an American magazine publisher and civic leader best known for helping establish the Civil Air Patrol during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea7f0ec81908eff43aa845584af |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:54 a.m.