Triple
T8153455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serena Ryder |
E190385
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ryder
Ryder is a surname most notably associated with Canadian singer-songwriter Serena Ryder.
|
E717216
|
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: Ryder | Statement: [Serena Ryder, familyName, Ryder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryder Context triple: [Serena Ryder, familyName, Ryder]
-
A.
Ryder
Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
-
B.
Ryder
Ryder is the young, tech-savvy leader of the PAW Patrol team who guides a group of rescue pups on missions to protect their community.
-
C.
Roden
Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
-
D.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
E.
Parker
Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
- 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: Ryder Triple: [Serena Ryder, familyName, Ryder]
Generated description
Ryder is a surname most notably associated with Canadian singer-songwriter Serena Ryder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryder Target entity description: Ryder is a surname most notably associated with Canadian singer-songwriter Serena Ryder.
-
A.
Ryder
Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
-
B.
Ryder
Ryder is the young, tech-savvy leader of the PAW Patrol team who guides a group of rescue pups on missions to protect their community.
-
C.
Roden
Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
-
D.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
-
E.
Parker
Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf0518688190b519fbe1823b95c2 |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccd7ca966481909bd01c4bb7f525ee |
completed | April 1, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd93da8ec8190b343dd2d0b1aad54 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 5:37 p.m.