Triple
T14700832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fogarty |
E345290
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Catherine Fogarty
Catherine Fogarty is a notable individual recognized as a prominent bearer of the Fogarty surname.
|
E1219891
|
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: Catherine Fogarty | Statement: [Fogarty, hasNotableBearer, Catherine Fogarty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Fogarty Context triple: [Fogarty, hasNotableBearer, Catherine Fogarty]
-
A.
Catherine Callaghan
Catherine Callaghan was a linguist known for her influential work on Native American languages, particularly her research on and classification of the Utian language family.
-
B.
Catherine Leahy
Catherine Leahy is a notable individual who shares the surname Leahy, recognized enough to be specifically cited as a bearer of the name.
-
C.
Mary Fogarty
Mary Fogarty is a notable individual distinguished enough to be specifically cited as a prominent bearer of the Fogarty surname.
-
D.
Catherine McGinty
Catherine McGinty is a fictional character from the 1940 political satire film "The Great McGinty," directed by Preston Sturges.
-
E.
Patricia Laffan
Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
- 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: Catherine Fogarty Triple: [Fogarty, hasNotableBearer, Catherine Fogarty]
Generated description
Catherine Fogarty is a notable individual recognized as a prominent bearer of the Fogarty surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catherine Fogarty Target entity description: Catherine Fogarty is a notable individual recognized as a prominent bearer of the Fogarty surname.
-
A.
Catherine Callaghan
Catherine Callaghan was a linguist known for her influential work on Native American languages, particularly her research on and classification of the Utian language family.
-
B.
Catherine Leahy
Catherine Leahy is a notable individual who shares the surname Leahy, recognized enough to be specifically cited as a bearer of the name.
-
C.
Mary Fogarty
Mary Fogarty is a notable individual distinguished enough to be specifically cited as a prominent bearer of the Fogarty surname.
-
D.
Catherine McGinty
Catherine McGinty is a fictional character from the 1940 political satire film "The Great McGinty," directed by Preston Sturges.
-
E.
Patricia Laffan
Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00679214208190a9ee4cce882f59cb |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a006895b8ac8190a8d078e6b9f5bb50 |
completed | May 10, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00694da4a88190944ae4a70ac9f0c3 |
completed | May 10, 2026, 11:17 a.m. |
Created at: April 10, 2026, 1:28 a.m.