Triple
T11760103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sullivan & Son |
E279631
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Steve Byrne |
E943748
|
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: Steve Byrne | Statement: [Sullivan & Son, executiveProducer, Steve Byrne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Byrne Context triple: [Sullivan & Son, executiveProducer, Steve Byrne]
-
A.
Steve Byrne
chosen
Steve Byrne is an American stand-up comedian and actor best known for creating and starring in the TBS sitcom "Sullivan & Son."
-
B.
Peter Byrne
Peter Byrne was a British actor best known for his long-running role as Andy Crawford in the classic television police series "Dixon of Dock Green."
-
C.
Roger Byrne
Roger Byrne was an English footballer who captained Manchester United's famed "Busby Babes" side in the 1950s.
-
D.
Larry Byrne
Larry Byrne is the husband of American politician Leslie L. Byrne, who served as a U.S. Representative from Virginia.
-
E.
Michael Byrne
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1309f25a88190b0acaf7d9be6ae59 |
completed | April 28, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:41 p.m.