Triple
T19508419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Alcorn |
E488086
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Al Alcorn |
—
|
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: Al Alcorn | Statement: [Al Alcorn, name, Al Alcorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Alcorn Context triple: [Al Alcorn, name, Al Alcorn]
-
A.
Al Alcorn
chosen
Al Alcorn is an American engineer and video game pioneer best known as the designer of the original Pong arcade game.
-
B.
Winfield Dunn
Winfield Dunn is an American Republican politician who served as governor of Tennessee in the early 1970s.
-
C.
Bere Alston
Bere Alston is a small village in Devon, England, situated in the rural Tamar Valley and known historically for its mining and agricultural heritage.
-
D.
Nathan Eugene Toomer
Nathan Eugene Toomer was the original birth name of Jean Toomer, the American writer best known for his modernist work "Cane" and his role in the Harlem Renaissance.
-
E.
Willie D. Davis
Willie D. Davis is a notable alumnus of Delaware State University, recognized for his achievements and contributions following his education there.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351426448190aec1ee26c09faa24 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.