Triple
T8726840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ramsey |
E207150
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Arthur
Arthur is a male given name of Celtic origin that has been widely used in English-speaking countries and is famously associated with the legendary King Arthur.
|
E241018
|
NE FINISHED |
How this triple was built (4 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: [Michael Ramsey, givenName, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [Michael Ramsey, givenName, Arthur]
-
A.
Arthur
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 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 first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
-
D.
Arthur
Arthur is a given name notably borne by Charles Philip Arthur George, better known as King Charles III of the United Kingdom.
-
E.
Arthur
Arthur is a character in Helen Garner's novella "The Children’s Bach," which explores the complexities of family life and relationships in suburban Melbourne.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arthur Triple: [Michael Ramsey, givenName, Arthur]
Generated description
Arthur is a male given name of Celtic origin that has been widely used in English-speaking countries and is famously associated with the legendary King Arthur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Target entity description: Arthur is a male given name of Celtic origin that has been widely used in English-speaking countries and is famously associated with the legendary King Arthur.
-
A.
Arthur
chosen
Arthur is a masculine given name of Celtic origin, historically associated with legendary and royal figures, most famously King Arthur of Britain.
-
B.
Arthur
Arthur is a given name notably borne by Charles Philip Arthur George, better known as King Charles III of the United Kingdom.
-
C.
Arthur
Arthur was the given name of Prince Arthur, Duke of Connaught and Strathearn, a son of Queen Victoria and a prominent British royal and military figure.
-
D.
Arthur
Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
-
E.
Arthur
Arthur is the given first name of the influential British computer scientist Robin Milner, known for his work in programming language theory and process calculi.
- F. None of above.
Provenance (5 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d16cba881908e2a14b60ae65524 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42b0f5808190863a1ca3c4e9c8d1 |
completed | April 3, 2026, 4:31 a.m. |
| NEDg | Description generation | batch_69cf43bd0f8c8190be2f7dc86f1e76e1 |
completed | April 3, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf444c9cb08190a37f34faa4a3458d |
completed | April 3, 2026, 4:38 a.m. |
Created at: March 30, 2026, 6:37 p.m.