Triple
T21165935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Llewelyn Davies |
E521561
|
entity |
| Predicate | coDiedWith |
P86215
|
FINISHED |
| Object | Rupert Buxton |
—
|
NE NERFINISHED |
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: Rupert Buxton | Statement: [Michael Llewelyn Davies, coDiedWith, Rupert Buxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupert Buxton Context triple: [Michael Llewelyn Davies, coDiedWith, Rupert Buxton]
-
A.
Rupert Baxter
Rupert Baxter is a recurring character in P. G. Wodehouse’s Blandings Castle stories, known as the hyper-efficient, suspicious former secretary whose attempts to impose order often lead to comic chaos.
-
B.
Rupert Harvey
Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
-
C.
Rupert Walters
Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
-
D.
Cecil Poynton
Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
-
E.
Rupert Thompson
Rupert Thompson was a benefactor whose contributions to Dartmouth College led to the university’s ice hockey arena being named in his honor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rupert Buxton Target entity description: Rupert Buxton was an English student and close friend of Michael Llewelyn Davies, remembered primarily for their mysterious joint drowning at Oxford in 1921.
-
A.
Rupert Baxter
Rupert Baxter is a recurring character in P. G. Wodehouse’s Blandings Castle stories, known as the hyper-efficient, suspicious former secretary whose attempts to impose order often lead to comic chaos.
-
B.
Rupert Harvey
Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
-
C.
Rupert Walters
Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
-
D.
Cecil Poynton
Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
-
E.
Rupert Thompson
Rupert Thompson was a benefactor whose contributions to Dartmouth College led to the university’s ice hockey arena being named in his honor.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coDiedWith Context triple: [Michael Llewelyn Davies, coDiedWith, Rupert Buxton]
-
A.
diesWith
chosen
Indicates that one entity ceases to live or exist at the same time or as a direct consequence of another entity’s death.
-
B.
diedAs
Indicates that an entity ceased to live in a particular role, state, or identity.
-
C.
diedAfter
Indicates that one entity’s death occurred later in time than another entity’s death.
-
D.
associatedWithDeathOf
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
-
E.
diedWhile
Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
- F. None of above.
Provenance (3 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270efe3081908a50fc601c2f958c |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.