Triple
T13814926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heartland |
E331987
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Graham Wardle
Graham Wardle is a Canadian actor best known for playing Ty Borden on the long-running family drama television series "Heartland."
|
E1105598
|
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: Graham Wardle | Statement: [Heartland, portrayedBy, Graham Wardle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Wardle Context triple: [Heartland, portrayedBy, Graham Wardle]
-
A.
David Wardle
David Wardle is an illustrator and graphic designer known for creating book cover art, including the cover of Boris Johnson’s novel "Seventy-Two Virgins."
-
B.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
-
C.
Alan Wheatley
Alan Wheatley was a British actor best known for his stage and screen work, including his portrayal of the Sheriff of Nottingham in the 1950s television series "The Adventures of Robin Hood."
-
D.
Graham Winder
Graham Winder is an individual notable enough to be recognized as a namesake bearer of the surname Winder.
-
E.
Graham Jessop
Graham Jessop is a British marine archaeologist and shipwreck hunter known for his work on deep-sea salvage and underwater exploration projects.
- 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: Graham Wardle Triple: [Heartland, portrayedBy, Graham Wardle]
Generated description
Graham Wardle is a Canadian actor best known for playing Ty Borden on the long-running family drama television series "Heartland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graham Wardle Target entity description: Graham Wardle is a Canadian actor best known for playing Ty Borden on the long-running family drama television series "Heartland."
-
A.
David Wardle
David Wardle is an illustrator and graphic designer known for creating book cover art, including the cover of Boris Johnson’s novel "Seventy-Two Virgins."
-
B.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
-
C.
Alan Wheatley
Alan Wheatley was a British actor best known for his stage and screen work, including his portrayal of the Sheriff of Nottingham in the 1950s television series "The Adventures of Robin Hood."
-
D.
Graham Winder
Graham Winder is an individual notable enough to be recognized as a namesake bearer of the surname Winder.
-
E.
Graham Jessop
Graham Jessop is a British marine archaeologist and shipwreck hunter known for his work on deep-sea salvage and underwater exploration projects.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8a9eeff48190b8aa9a601574395a |
completed | May 8, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_69fd8b47257c8190980123227364b26d |
completed | May 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8bb6fb248190b6dc632e7dc56c3f |
completed | May 8, 2026, 7:07 a.m. |
Created at: April 9, 2026, 10:12 p.m.