Triple
T20330360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur C. Newby |
E492459
|
entity |
| Predicate | hasGivenName |
P17
|
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: [Arthur C. Newby, hasGivenName, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [Arthur C. Newby, hasGivenName, Arthur]
-
A.
Arthur
Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
-
B.
Arthur
Arthur is the given name of Arthur Stanley, 5th Baron Stanley of Alderley, a British peer and member of the aristocratic Stanley family.
-
C.
Arthur
Arthur is one of the given middle names of Prince Louis of Wales, the youngest child of William, Prince of Wales, and Catherine, Princess of Wales.
-
D.
Arthur
chosen
Arthur is the given first name of the influential American jazz drummer Zutty Singleton, a key figure in early New Orleans jazz.
-
E.
Arthur
Arthur is the given name of Arthur J. Ornitz, an American cinematographer known for his work on several notable films in the mid-20th century.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e6f5d08190bedf376bbb999ebc |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.