Triple
T6344553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Bishop |
E142710
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
John Bishop
John Bishop is the son of Maurice Bishop, the revolutionary leader and former Prime Minister of Grenada.
|
E585701
|
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: John Bishop | Statement: [Maurice Bishop, hasChild, John Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bishop Context triple: [Maurice Bishop, hasChild, John Bishop]
-
A.
John Bishop
John Bishop is an English stand-up comedian, actor, and television presenter known for his energetic storytelling style and appearances on British panel shows and dramas.
-
B.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
C.
John Grover
John Grover is a film editor best known for his work on action and thriller movies, including the James Bond film series.
-
D.
John Corbett
John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
-
E.
Bill Durnan
Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
- 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: John Bishop Triple: [Maurice Bishop, hasChild, John Bishop]
Generated description
John Bishop is the son of Maurice Bishop, the revolutionary leader and former Prime Minister of Grenada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Bishop Target entity description: John Bishop is the son of Maurice Bishop, the revolutionary leader and former Prime Minister of Grenada.
-
A.
John Bishop
John Bishop is an English stand-up comedian, actor, and television presenter known for his energetic storytelling style and appearances on British panel shows and dramas.
-
B.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
C.
John Grover
John Grover is a film editor best known for his work on action and thriller movies, including the James Bond film series.
-
D.
John Corbett
John Corbett is an American actor and country music singer best known for his roles in "Sex and the City," "My Big Fat Greek Wedding," and various television and film projects.
-
E.
Bill Durnan
Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674702d08190806ef0998960b797 |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044051548190bd35bc17b72fab90 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c6053eb344819094490ad663413962 |
completed | March 27, 2026, 4:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605d48e848190bf11f3862a12d709 |
completed | March 27, 2026, 4:21 a.m. |
Created at: March 22, 2026, 4:31 p.m.