Triple
T14610348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzz Bissinger |
E342942
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Buzz Bissinger |
E342942
|
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: Buzz Bissinger | Statement: [Buzz Bissinger, name, Buzz Bissinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buzz Bissinger Context triple: [Buzz Bissinger, name, Buzz Bissinger]
-
A.
Buzz Bissinger
chosen
Buzz Bissinger is an American journalist and author best known for his nonfiction book "Friday Night Lights," which chronicles high school football in Texas and inspired multiple film and television adaptations.
-
B.
Matt Berenson
Matt Berenson is a film producer best known for his work on family-friendly comedies such as "Daddy Day Care."
-
C.
Bill Buford
Bill Buford is an American writer and editor best known for his influential work at Granta magazine and his explorations of contemporary literature and food culture.
-
D.
Kurt Eichenwald
Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
-
E.
Wil Haygood
Wil Haygood is an American journalist and author best known for his biographical and historical works on African American figures, including the article that inspired the film "The Butler."
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91d05e48190ac945e381d6d5dd9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.