Triple
T5310714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hughes |
E119019
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Hugheson
Hugheson is a surname that likely originated as a patronymic form of the name Hughes, meaning "son of Hugh."
|
E509867
|
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: Hugheson | Statement: [Hughes, hasVariant, Hugheson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugheson Context triple: [Hughes, hasVariant, Hugheson]
-
A.
Guy Mountfort
Guy Mountfort was a British advertising executive, author, and conservationist best known for co-founding the World Wildlife Fund and helping pioneer modern international wildlife conservation efforts.
-
B.
Everard
Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
-
C.
Jonathan Hensleigh
Jonathan Hensleigh is an American screenwriter and film director known for his work on action films such as "Die Hard with a Vengeance" and "The Punisher."
-
D.
Graydon Hoare
Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- 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: Hugheson Triple: [Hughes, hasVariant, Hugheson]
Generated description
Hugheson is a surname that likely originated as a patronymic form of the name Hughes, meaning "son of Hugh."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugheson Target entity description: Hugheson is a surname that likely originated as a patronymic form of the name Hughes, meaning "son of Hugh."
-
A.
Guy Mountfort
Guy Mountfort was a British advertising executive, author, and conservationist best known for co-founding the World Wildlife Fund and helping pioneer modern international wildlife conservation efforts.
-
B.
Everard
Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
-
C.
Jonathan Hensleigh
Jonathan Hensleigh is an American screenwriter and film director known for his work on action films such as "Die Hard with a Vengeance" and "The Punisher."
-
D.
Graydon Hoare
Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
-
E.
Gaven
Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
- F. None of above. chosen
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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd85343ae08190bd9801ea4eac7003 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf11033c448190ab64600913ee8a9c |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11c162f48190bdc56fea62575643 |
completed | March 21, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1237a644819081b1f1013e23cc66 |
completed | March 21, 2026, 9:48 p.m. |
Created at: March 20, 2026, 1:53 p.m.