Triple
T383169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine |
E8723
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Catrin
Catrin is a given name, primarily used in Welsh and other European contexts, that derives from the name Catherine.
|
E48871
|
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: Catrin | Statement: [Catherine, hasVariant, Catrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catrin Context triple: [Catherine, hasVariant, Catrin]
-
A.
Gweneth Howarth
Gweneth Howarth was the second wife of physicist Richard Feynman, with whom she shared much of his later personal life.
-
B.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
C.
Rhian Wilkinson
Rhian Wilkinson is a former Canadian international soccer player and coach who notably led the Portland Thorns FC to the 2022 NWSL Championship.
-
D.
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
E.
Katherine Towle
Katherine Towle was a University of California, Berkeley administrator and the first female dean of students, known for her prominent role during the Free Speech Movement in the 1960s.
- 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: Catrin Triple: [Catherine, hasVariant, Catrin]
Generated description
Catrin is a given name, primarily used in Welsh and other European contexts, that derives from the name Catherine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catrin Target entity description: Catrin is a given name, primarily used in Welsh and other European contexts, that derives from the name Catherine.
-
A.
Gweneth Howarth
Gweneth Howarth was the second wife of physicist Richard Feynman, with whom she shared much of his later personal life.
-
B.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
C.
Rhian Wilkinson
Rhian Wilkinson is a former Canadian international soccer player and coach who notably led the Portland Thorns FC to the 2022 NWSL Championship.
-
D.
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
E.
Katherine Towle
Katherine Towle was a University of California, Berkeley administrator and the first female dean of students, known for her prominent role during the Free Speech Movement in the 1960s.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe9418348190a1ffb3fd3e3f8048 |
completed | March 1, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69a3ff68cfc0819082d7f7118c22fc78 |
completed | March 1, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a400449ddc8190b906cf6a3dd4b6f0 |
completed | March 1, 2026, 9 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.