Triple
T19178672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Trump |
E469511
|
entity |
| Predicate | hasFictionalStoryteller |
P68311
|
FINISHED |
| Object | Harry Purvis |
—
|
NE NERFINISHED |
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: Harry Purvis | Statement: [The Last Trump, hasFictionalStoryteller, Harry Purvis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Purvis Context triple: [The Last Trump, hasFictionalStoryteller, Harry Purvis]
-
A.
Harry Purvis
chosen
Harry Purvis is the witty, often unreliable raconteur who narrates the tall, science-fictional barroom stories in Arthur C. Clarke’s collection "Tales from the White Hart."
-
B.
Jack Purvis
Jack Purvis was a British dwarf actor best known for his roles in several Terry Gilliam films and the original Star Wars trilogy.
-
C.
Henry Sherwin
Henry Sherwin was an American businessman best known as the co-founder of the Sherwin-Williams Company, a major paint and coatings manufacturer.
-
D.
Reginald Purdell
Reginald Purdell was a British character actor and occasional screenwriter known for his supporting roles in numerous films from the 1930s and 1940s.
-
E.
Philip Hudson
Philip Hudson was an Australian architect best known for co-designing Melbourne’s iconic Shrine of Remembrance war memorial.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f619c60c81909d11489525add829 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.