Triple
T11094572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoker |
E262343
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Donald Stoker
Donald Stoker is a military historian and author known for his works on strategy, war, and international relations.
|
E912771
|
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: Donald Stoker | Statement: [Stoker, notableBearer, Donald Stoker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Stoker Context triple: [Stoker, notableBearer, Donald Stoker]
-
A.
Bram Stoker
Bram Stoker was an Irish author best known for his 1897 novel "Dracula," a foundational work of Gothic horror fiction.
-
B.
Irving Noel Thornley Stoker
Irving Noel Thornley Stoker was the son of Irish author Bram Stoker, best known for writing the classic Gothic novel "Dracula."
-
C.
Don Stoker
Don Stoker is an individual notable enough to be recognized as a prominent bearer of the surname Stoker.
-
D.
Sheridan Le Fanu
Sheridan Le Fanu was a 19th-century Irish writer best known for his influential Gothic and ghost stories, including the vampire novella "Carmilla."
-
E.
Gareth Stoker
Gareth Stoker is an English former professional footballer best known for playing as a midfielder in the lower divisions of the English Football League during the 1990s.
- 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: Donald Stoker Triple: [Stoker, notableBearer, Donald Stoker]
Generated description
Donald Stoker is a military historian and author known for his works on strategy, war, and international relations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Stoker Target entity description: Donald Stoker is a military historian and author known for his works on strategy, war, and international relations.
-
A.
Bram Stoker
Bram Stoker was an Irish author best known for his 1897 novel "Dracula," a foundational work of Gothic horror fiction.
-
B.
Irving Noel Thornley Stoker
Irving Noel Thornley Stoker was the son of Irish author Bram Stoker, best known for writing the classic Gothic novel "Dracula."
-
C.
Don Stoker
Don Stoker is an individual notable enough to be recognized as a prominent bearer of the surname Stoker.
-
D.
Sheridan Le Fanu
Sheridan Le Fanu was a 19th-century Irish writer best known for his influential Gothic and ghost stories, including the vampire novella "Carmilla."
-
E.
Gareth Stoker
Gareth Stoker is an English former professional footballer best known for playing as a midfielder in the lower divisions of the English Football League during the 1990s.
- 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_69e4acd76d20819089ed2ea2c22bc65d |
completed | April 19, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_69e4b1ee74748190a33449ce1b92813e |
completed | April 19, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b3d23b18819096f3a11aecc732bd |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 8, 2026, 9:27 p.m.