Triple
T10465045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Roulettes |
E246771
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
John Rogan
John Rogan is a musician best known as a member of the Australian rock band The Roulettes.
|
E866251
|
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 Rogan | Statement: [The Roulettes, hasMember, John Rogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Rogan Context triple: [The Roulettes, hasMember, John Rogan]
-
A.
John Rogan
John Rogan was an Irish actor known for his character roles in film, television, and theatre, including a part in the 1987 adaptation of "The Magic Toyshop."
-
B.
Jim O’Doherty
Jim O’Doherty is an American television writer and producer known for creating and working on various youth-oriented comedy series.
-
C.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
D.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
E.
Greg O’Connor
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
- 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 Rogan Triple: [The Roulettes, hasMember, John Rogan]
Generated description
John Rogan is a musician best known as a member of the Australian rock band The Roulettes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Rogan Target entity description: John Rogan is a musician best known as a member of the Australian rock band The Roulettes.
-
A.
John Rogan
John Rogan was an Irish actor known for his character roles in film, television, and theatre, including a part in the 1987 adaptation of "The Magic Toyshop."
-
B.
Jim O’Doherty
Jim O’Doherty is an American television writer and producer known for creating and working on various youth-oriented comedy series.
-
C.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
D.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
E.
Greg O’Connor
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_69d8a43ae8a48190b1c05b6a91dfed9a |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8b8fe1b9c8190b5a4787797ad7120 |
completed | April 10, 2026, 8:46 a.m. |
Created at: April 6, 2026, 12:19 p.m.