Triple
T20611282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogan |
E506453
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mark Rogan
Mark Rogan is an individual notable enough to be specifically distinguished among people sharing the surname Rogan.
|
E1439803
|
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: Mark Rogan | Statement: [Rogan, hasNotableBearer, Mark Rogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Rogan Context triple: [Rogan, hasNotableBearer, Mark Rogan]
-
A.
Ben Rogers
Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
-
B.
Neil Roach
Neil Roach is a cinematographer best known for his work on feature films such as the crime-comedy sequel "The Whole Ten Yards."
-
C.
Tim Morgan
Tim Morgan is a Canadian entrepreneur best known as one of the co-founders of the low-cost airline WestJet.
-
D.
Chris Bremner
Chris Bremner is a screenwriter best known for his work on major Hollywood action-comedy films, including entries in the Bad Boys franchise.
-
E.
Adrian Rogan
Adrian Rogan was one of the civilians killed in the 1994 Loughinisland massacre in County Down, Northern Ireland, when loyalist gunmen opened fire in a village pub during a World Cup football match.
- 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: Mark Rogan Triple: [Rogan, hasNotableBearer, Mark Rogan]
Generated description
Mark Rogan is an individual notable enough to be specifically distinguished among people sharing the surname Rogan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Rogan Target entity description: Mark Rogan is an individual notable enough to be specifically distinguished among people sharing the surname Rogan.
-
A.
Ben Rogers
Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
-
B.
Neil Roach
Neil Roach is a cinematographer best known for his work on feature films such as the crime-comedy sequel "The Whole Ten Yards."
-
C.
Tim Morgan
Tim Morgan is a Canadian entrepreneur best known as one of the co-founders of the low-cost airline WestJet.
-
D.
Chris Bremner
Chris Bremner is a screenwriter best known for his work on major Hollywood action-comedy films, including entries in the Bad Boys franchise.
-
E.
Adrian Rogan
Adrian Rogan was one of the civilians killed in the 1994 Loughinisland massacre in County Down, Northern Ireland, when loyalist gunmen opened fire in a village pub during a World Cup football match.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad81bdc8190aa6f6164f406a468 |
completed | April 20, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3f98e5c8190833d0e47b3e9585b |
completed | May 16, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_6a08b5a15a7c819099923f5a4d5f92c0 |
completed | May 16, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b603cd8481908780f4670dabf4a0 |
completed | May 16, 2026, 6:23 p.m. |
Created at: April 16, 2026, 11:41 a.m.