Triple
T20603781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagon Train |
E506248
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Charlie Wooster
Charlie Wooster is the comic, good-natured cook on the classic American Western television series "Wagon Train."
|
E1439464
|
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: Charlie Wooster | Statement: [Wagon Train, character, Charlie Wooster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Wooster Context triple: [Wagon Train, character, Charlie Wooster]
-
A.
Tim Wooster
Tim Wooster is a cinematographer known for his work on the film "Exam."
-
B.
Bertie Wooster
Bertie Wooster is a wealthy, amiable, and somewhat dim-witted young English gentleman best known as the hapless master of the supremely competent valet Jeeves in P. G. Wodehouse’s comic stories.
-
C.
Charles Goring
Charles Goring was a 18th–19th century English landowner best known for planting the iconic beech trees that crown Chanctonbury Ring on the South Downs.
-
D.
Terry Jeeves
Terry Jeeves was a British science fiction fan and fanzine artist known for his influential contributions to fandom and his award-winning fan artwork.
-
E.
Jeeves
Jeeves is the famously unflappable and supremely competent valet who serves as the central comic foil and problem-solver in P. G. Wodehouse’s stories about Bertie Wooster.
- 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: Charlie Wooster Triple: [Wagon Train, character, Charlie Wooster]
Generated description
Charlie Wooster is the comic, good-natured cook on the classic American Western television series "Wagon Train."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Wooster Target entity description: Charlie Wooster is the comic, good-natured cook on the classic American Western television series "Wagon Train."
-
A.
Tim Wooster
Tim Wooster is a cinematographer known for his work on the film "Exam."
-
B.
Bertie Wooster
Bertie Wooster is a wealthy, amiable, and somewhat dim-witted young English gentleman best known as the hapless master of the supremely competent valet Jeeves in P. G. Wodehouse’s comic stories.
-
C.
Charles Goring
Charles Goring was a 18th–19th century English landowner best known for planting the iconic beech trees that crown Chanctonbury Ring on the South Downs.
-
D.
Terry Jeeves
Terry Jeeves was a British science fiction fan and fanzine artist known for his influential contributions to fandom and his award-winning fan artwork.
-
E.
Jeeves
Jeeves is the famously unflappable and supremely competent valet who serves as the central comic foil and problem-solver in P. G. Wodehouse’s stories about Bertie Wooster.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3f56f748190a42864ae428c9f1b |
completed | May 16, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_6a08b49702108190810c8e4f5a89ec36 |
completed | May 16, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b524b95c8190909c93d471e9397f |
completed | May 16, 2026, 6:19 p.m. |
Created at: April 16, 2026, 11:41 a.m.