Triple
T13603988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artur |
E325012
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Arthur |
unclear NED1
|
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: Arthur | Statement: [Artur, relatedTo, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [Artur, relatedTo, Arthur]
-
A.
Arthur
Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
-
B.
Arthur
Arthur is a central character, likely a leader or protagonist, around whom allies such as Goosefat Bill rally in a shared cause or conflict.
-
C.
Arthur
Arthur is the given name of Arthur Garfield Hays, a prominent American civil liberties lawyer associated with the early American Civil Liberties Union.
-
D.
Arthur
Arthur is the given name of Arthur Stanley, 5th Baron Stanley of Alderley, a British peer and member of the aristocratic Stanley family.
-
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. chosen
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.