Triple
T12504031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death of Stalin |
E298899
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Christopher Willis |
E891992
|
NE FINISHED |
How this triple was built (2 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: Christopher Willis | Statement: [The Death of Stalin, composer, Christopher Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Willis Context triple: [The Death of Stalin, composer, Christopher Willis]
-
A.
Christopher Willis
chosen
Christopher Willis is a British composer best known for his work on film and television scores, including the soundtrack for "The Personal History of David Copperfield."
-
B.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
-
C.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
-
D.
Ken Reeves
Ken Reeves is the fictional former professional basketball player who becomes a high school coach in the television drama series "The White Shadow."
-
E.
Jeffrey Hayden
Jeffrey Hayden was an American television and film director known for his extensive work in mid-20th-century TV dramas and variety shows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75464d85c8190a4c27f22cfd7dc96 |
completed | May 3, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:57 p.m.