Triple
T10523134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Honegger |
E248224
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Arthur
Arthur is a masculine given name of Celtic origin that has been borne by numerous historical and cultural figures, most famously 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: [Arthur Honegger, givenName, Arthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Context triple: [Arthur Honegger, givenName, 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 common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
-
C.
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.
-
D.
Arthur
Arthur is a skilled point man and strategist in the film "Inception," known for his meticulous planning and execution of shared dream heists alongside Dom Cobb.
-
E.
Arthur
Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
- 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: [Arthur Honegger, givenName, Arthur]
Generated description
Arthur is a masculine given name of Celtic origin that has been borne by numerous historical and cultural figures, most famously the legendary King Arthur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Target entity description: Arthur is a masculine given name of Celtic origin that has been borne by numerous historical and cultural figures, most famously 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 the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
-
C.
Arthur
Arthur is a given name notably borne by Charles Philip Arthur George, better known as King Charles III of the United Kingdom.
-
D.
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.
-
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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e155b08190996325bf484ec55d |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 |
completed | April 10, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69d938c697f481908a93296ee7f82eae |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d940176c988190b7583ce9f2c21898 |
completed | April 10, 2026, 6:23 p.m. |
Created at: April 6, 2026, 12:29 p.m.