Triple
T10917422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kes |
E257860
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
|
E922568
|
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 Watts | Statement: [Kes, editedBy, Roy Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Watts Context triple: [Kes, editedBy, Roy Watts]
-
A.
Tony Darrow
Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
-
B.
Phil Reeves
Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
-
C.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
D.
Ray Stiles
Ray Stiles is an English bass guitarist best known for his work with the glam rock band Mud before later joining the pop/rock group The Hollies.
-
E.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
- 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 Watts Triple: [Kes, editedBy, Roy Watts]
Generated description
Roy Watts is an editor known for his work on the British television drama series "Kes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Watts Target entity description: Roy Watts is an editor known for his work on the British television drama series "Kes."
-
A.
Tony Darrow
Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
-
B.
Phil Reeves
Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
-
C.
Guy Weadick
Guy Weadick was an American-born cowboy, promoter, and showman best known for creating the Calgary Stampede and helping popularize rodeo culture in Canada.
-
D.
Ray Stiles
Ray Stiles is an English bass guitarist best known for his work with the glam rock band Mud before later joining the pop/rock group The Hollies.
-
E.
Don Woods
Don Woods is an American computer programmer best known for co-creating and expanding the pioneering text adventure game Colossal Cave Adventure.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707ebdcc8190b42cafe21c667c82 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58a8c67248190be284ddd84f9d8b8 |
completed | April 20, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:22 p.m.