Triple
T8123085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumann na nGaedheal |
E189654
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Patrick Hogan
Patrick Hogan was an Irish politician who served as the first Minister for Agriculture of the Irish Free State and played a key role in shaping its early agricultural policy.
|
E724667
|
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: Patrick Hogan | Statement: [Cumann na nGaedheal, notableMember, Patrick Hogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Hogan Context triple: [Cumann na nGaedheal, notableMember, Patrick Hogan]
-
A.
Patrick Hogan
Patrick Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse.
-
B.
David Hogan
David Hogan is a music video director known for his work on popular songs and collaborations with major recording artists.
-
C.
Patrick Eagan
Patrick Eagan was an early Irish immigrant settler and local political figure after whom the city of Eagan, Minnesota, is named.
-
D.
Patrick McKenna
Patrick McKenna is a British media and entertainment executive and entrepreneur best known for founding the investment and advisory firm Ingenious Media.
-
E.
Patrick Fagan
Patrick Fagan is a British behavioral scientist and consultant known for applying psychological insights to marketing, political campaigning, and public communication.
- 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: Patrick Hogan Triple: [Cumann na nGaedheal, notableMember, Patrick Hogan]
Generated description
Patrick Hogan was an Irish politician who served as the first Minister for Agriculture of the Irish Free State and played a key role in shaping its early agricultural policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Hogan Target entity description: Patrick Hogan was an Irish politician who served as the first Minister for Agriculture of the Irish Free State and played a key role in shaping its early agricultural policy.
-
A.
Patrick Hogan
Patrick Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse.
-
B.
David Hogan
David Hogan is a music video director known for his work on popular songs and collaborations with major recording artists.
-
C.
Patrick Eagan
Patrick Eagan was an early Irish immigrant settler and local political figure after whom the city of Eagan, Minnesota, is named.
-
D.
Patrick McKenna
Patrick McKenna is a British media and entertainment executive and entrepreneur best known for founding the investment and advisory firm Ingenious Media.
-
E.
Patrick Fagan
Patrick Fagan is a British behavioral scientist and consultant known for applying psychological insights to marketing, political campaigning, and public communication.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438bcb988190b58eff8616ac4073 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd948fcf90819090c80e1ac4ac1b0c |
completed | April 1, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_69cd9e03dd2c8190b7e18cdc3fa62b16 |
completed | April 1, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd9faa9654819080aaae51c9835af0 |
completed | April 1, 2026, 10:43 p.m. |
Created at: March 30, 2026, 5:33 p.m.