Triple
T11094576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoker |
E262343
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Tony Stoker
Tony Stoker is an individual known primarily for sharing the surname Stoker, which is associated with several notable figures.
|
E905408
|
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: Tony Stoker | Statement: [Stoker, notableBearer, Tony Stoker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Stoker Context triple: [Stoker, notableBearer, Tony Stoker]
-
A.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
B.
Stuart Palmer
Stuart Palmer was an American mystery writer and screenwriter best known for his Hildegarde Withers detective novels and his work in Hollywood during the mid-20th century.
-
C.
Tim Stevenson
Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
-
D.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
E.
Max Stenner
Max Stenner is a fictional character appearing in the work "The Silence."
- 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: Tony Stoker Triple: [Stoker, notableBearer, Tony Stoker]
Generated description
Tony Stoker is an individual known primarily for sharing the surname Stoker, which is associated with several notable figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Stoker Target entity description: Tony Stoker is an individual known primarily for sharing the surname Stoker, which is associated with several notable figures.
-
A.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
B.
Stuart Palmer
Stuart Palmer was an American mystery writer and screenwriter best known for his Hildegarde Withers detective novels and his work in Hollywood during the mid-20th century.
-
C.
Tim Stevenson
Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
-
D.
Stuart Gilmore
Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
-
E.
Max Stenner
Max Stenner is a fictional character appearing in the work "The Silence."
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0783e88190aae3d461730c2d70 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d69c8b4819092614e83e855430e |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e4307baca48190bbf82f8235d7e2c7 |
completed | April 19, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4375eaf448190a17f8df1e83145e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:27 p.m.