Triple
T9980054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenRC |
E196427
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
|
E834122
|
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: Roy Marples | Statement: [OpenRC, developer, Roy Marples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Marples Context triple: [OpenRC, developer, Roy Marples]
-
A.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
-
B.
Lee Boardman
Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
-
C.
Colin Tapley
Colin Tapley was a New Zealand-born actor known for his supporting roles in British and American films during the 1930s and 1940s.
-
D.
Roy Stewart
Roy Stewart was an American silent film actor known for his roles in early Westerns and adventure films during the 1910s and 1920s.
-
E.
Ian Walters
Ian Walters was a British sculptor best known for his politically engaged public monuments, including prominent statues of anti-apartheid leader Nelson Mandela.
- 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: Roy Marples Triple: [OpenRC, developer, Roy Marples]
Generated description
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Marples Target entity description: Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
A.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
-
B.
Lee Boardman
Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
-
C.
Colin Tapley
Colin Tapley was a New Zealand-born actor known for his supporting roles in British and American films during the 1930s and 1940s.
-
D.
Roy Stewart
Roy Stewart was an American silent film actor known for his roles in early Westerns and adventure films during the 1910s and 1920s.
-
E.
Ian Walters
Ian Walters was a British sculptor best known for his politically engaged public monuments, including prominent statues of anti-apartheid leader Nelson Mandela.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257df420881909edac01b4e331c1e |
completed | April 5, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69d258b6d9c0819096dbd3e85dc6adfc |
completed | April 5, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25981db3c8190b7b4935cdcc1fe1c |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:49 p.m.