Triple
T21136485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Arizona College |
E520827
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Scott Hairston |
—
|
NE NERFINISHED |
How this triple was built (3 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: Scott Hairston | Statement: [Central Arizona College, notableAlumnus, Scott Hairston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Hairston Context triple: [Central Arizona College, notableAlumnus, Scott Hairston]
-
A.
Anthony Hines
Anthony Hines is a British comedy writer and producer best known for his long-time collaboration with Sacha Baron Cohen on projects like Borat.
-
B.
Jeffrey Skiles
Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
-
C.
Jeff Henderson
Jeff Henderson is a fictional character portrayed by Rob Morrow in the 1996 comedy film "Mother."
-
D.
Sam Haskins
Sam Haskins was a South African-born British photographer best known for his influential 1960s fashion and nude photography, particularly the book "Cowboy Kate & Other Stories."
-
E.
Chris Harris
Chris Harris is a television writer and producer best known for his work on American sitcoms, including serving as an executive producer on series like The Great Indoors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Hairston Target entity description: Scott Hairston is a former American Major League Baseball outfielder known for his power hitting and versatility across several teams, including the Arizona Diamondbacks, San Diego Padres, and New York Mets.
-
A.
Anthony Hines
Anthony Hines is a British comedy writer and producer best known for his long-time collaboration with Sacha Baron Cohen on projects like Borat.
-
B.
Jeffrey Skiles
Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
-
C.
Jeff Henderson
Jeff Henderson is a fictional character portrayed by Rob Morrow in the 1996 comedy film "Mother."
-
D.
Sam Haskins
Sam Haskins was a South African-born British photographer best known for his influential 1960s fashion and nude photography, particularly the book "Cowboy Kate & Other Stories."
-
E.
Chris Harris
Chris Harris is a television writer and producer best known for his work on American sitcoms, including serving as an executive producer on series like The Great Indoors.
- F. None of above. chosen
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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235aae588190bf9f7b40553bfa0e |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.