Triple
T17876332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buster Baxter |
E446963
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Arthur |
—
|
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: Arthur | Statement: [Buster Baxter, appearsIn, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [Buster Baxter, appearsIn, Arthur]
-
A.
Arthur
chosen
Arthur is a long-running animated children's television series that follows the everyday adventures and life lessons of Arthur Read, an anthropomorphic aardvark, and his friends and family.
-
B.
Arthur
Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
-
C.
Arthur
Arthur M. Sackler was an American psychiatrist, art collector, and philanthropist known for his influential role in medical advertising and for his extensive donations to major art institutions.
-
D.
Arthur
Arthur was the eldest son of King Henry VII of England and the first husband of Catherine of Aragon, whose early death paved the way for his brother Henry VIII’s accession to the throne.
-
E.
Arthur
Arthur is the given first name of the renowned English actor and director John Gielgud.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:18 a.m.