Triple
T15974475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack: Straight from the Gut |
E387407
|
entity |
| Predicate | associatedPerson |
P2308
|
FINISHED |
| Object | John A. Byrne |
—
|
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 A. Byrne | Statement: [Jack: Straight from the Gut, associatedPerson, John A. Byrne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John A. Byrne Context triple: [Jack: Straight from the Gut, associatedPerson, John A. Byrne]
-
A.
John A. Byrne
chosen
John A. Byrne is an American business journalist and author best known for his work covering corporate leadership and management, including co-authoring high-profile business books.
-
B.
James A. Byrne
James A. Byrne was a U.S. Congressman from Pennsylvania who served in the mid-20th century and was influential enough in public service to have a federal courthouse named in his honor.
-
C.
Charles M. Keally
Charles M. Keally is an archaeologist and scholar known for his research on Japanese prehistory and the Jomon period.
-
D.
William J. Moloney
William J. Moloney is known primarily as the husband of American actress and singer Christine Ebersole.
-
E.
James T. O'Donohoe
James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572b667c8190b28d0556e45422bb |
completed | April 16, 2026, 9:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.