Triple
T4440648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bible (2013 TV miniseries) |
E95761
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Greg Barnett
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
|
E524815
|
NE FINISHED |
How this triple was built (4 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: Greg Barnett | Statement: [The Bible (2013 TV miniseries), starred, Greg Barnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Barnett Context triple: [The Bible (2013 TV miniseries), starred, Greg Barnett]
-
A.
Larry Barnett
Larry Barnett is a former Major League Baseball umpire best known for his long career in the American League and his role in several high-profile postseason games.
-
B.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
C.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
D.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
-
E.
Larry Barrett
Larry Barrett was one of the judges who scored the historic 1975 heavyweight boxing match between Muhammad Ali and Joe Frazier, known as the "Thrilla in Manila."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Greg Barnett Triple: [The Bible (2013 TV miniseries), starred, Greg Barnett]
Generated description
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Barnett Target entity description: Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
-
A.
Larry Barnett
Larry Barnett is a former Major League Baseball umpire best known for his long career in the American League and his role in several high-profile postseason games.
-
B.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
C.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
D.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
-
E.
Larry Barrett
Larry Barrett was one of the judges who scored the historic 1975 heavyweight boxing match between Muhammad Ali and Joe Frazier, known as the "Thrilla in Manila."
- F. None of above. chosen
Provenance (5 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf7fbd0bc881908ba07edb75479b97 |
completed | March 22, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69bf80b1f5bc81909121b515dd7cd582 |
completed | March 22, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf80ff14d081908a4ce2f75c805dbb |
completed | March 22, 2026, 5:41 a.m. |
Created at: March 12, 2026, 11:32 p.m.