Triple
T18271190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Ryder |
E437617
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Ryder
Helen Ryder was the wife of English businessman and golf patron Samuel Ryder, known for her role within the prominent Ryder family associated with the Ryder Cup.
|
E1334517
|
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: Helen Ryder | Statement: [Samuel Ryder, spouse, Helen Ryder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Ryder Context triple: [Samuel Ryder, spouse, Helen Ryder]
-
A.
Helen Valentine
Helen Valentine was an American magazine editor best known for creating the influential teen magazine Seventeen in the 1940s.
-
B.
Helen Daniels
Helen Daniels is a central matriarchal character from the Australian soap opera "Neighbours," known for her long-running role as a wise and compassionate elder in the Ramsay Street community.
-
C.
Helen Jellicoe
Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
-
D.
Helen Beverley
Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
-
E.
Helen Turner
Helen Turner is a musician associated with the band Wild Wood.
- 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: Helen Ryder Triple: [Samuel Ryder, spouse, Helen Ryder]
Generated description
Helen Ryder was the wife of English businessman and golf patron Samuel Ryder, known for her role within the prominent Ryder family associated with the Ryder Cup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Ryder Target entity description: Helen Ryder was the wife of English businessman and golf patron Samuel Ryder, known for her role within the prominent Ryder family associated with the Ryder Cup.
-
A.
Helen Valentine
Helen Valentine was an American magazine editor best known for creating the influential teen magazine Seventeen in the 1940s.
-
B.
Helen Daniels
Helen Daniels is a central matriarchal character from the Australian soap opera "Neighbours," known for her long-running role as a wise and compassionate elder in the Ramsay Street community.
-
C.
Helen Jellicoe
Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
-
D.
Helen Beverley
Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
-
E.
Helen Turner
Helen Turner is a musician associated with the band Wild Wood.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7e00548190a28916a696831336 |
completed | April 19, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d60bb948190be4405ce0979f056 |
completed | May 13, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_6a050e5c7ba88190aed225ceca25f409 |
completed | May 13, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050f7411848190925d7f2132076f29 |
completed | May 13, 2026, 11:55 p.m. |
Created at: April 10, 2026, 10:34 a.m.