Triple
T7549274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagan |
E178487
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Pat Fagan
Pat Fagan is an Irish former professional footballer best known for playing as a defender for clubs such as Shamrock Rovers in the mid-20th century.
|
E689004
|
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: Pat Fagan | Statement: [Fagan, hasNotableBearer, Pat Fagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Fagan Context triple: [Fagan, hasNotableBearer, Pat Fagan]
-
A.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
B.
Pat Duggan
Pat Duggan is a film producer known for work on classic Hollywood productions such as the 1953 comedy-drama "Forever Female."
-
C.
Patrick Egan
Patrick Egan was a notable figure significant enough in regional history or exploration to have the Egan Range in Nevada named in his honor.
-
D.
Joe Fagan
Joe Fagan was an English football manager best known for leading Liverpool to a historic treble of league, European Cup, and League Cup titles in the 1983–84 season.
-
E.
Brian Kavanagh
Brian Kavanagh is a film editor best known for his work on notable Australian and international films, including the drama "The Devil's Playground."
- 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: Pat Fagan Triple: [Fagan, hasNotableBearer, Pat Fagan]
Generated description
Pat Fagan is an Irish former professional footballer best known for playing as a defender for clubs such as Shamrock Rovers in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pat Fagan Target entity description: Pat Fagan is an Irish former professional footballer best known for playing as a defender for clubs such as Shamrock Rovers in the mid-20th century.
-
A.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
B.
Pat Duggan
Pat Duggan is a film producer known for work on classic Hollywood productions such as the 1953 comedy-drama "Forever Female."
-
C.
Patrick Egan
Patrick Egan was a notable figure significant enough in regional history or exploration to have the Egan Range in Nevada named in his honor.
-
D.
Joe Fagan
Joe Fagan was an English football manager best known for leading Liverpool to a historic treble of league, European Cup, and League Cup titles in the 1983–84 season.
-
E.
Brian Kavanagh
Brian Kavanagh is a film editor best known for his work on notable Australian and international films, including the drama "The Devil's Playground."
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b35ba481908e1e5bbf329daa33 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8eef3b7a88190bb42b5f93ce2daba |
completed | March 29, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c8ef8e68b88190b30389f7f7482ecd |
completed | March 29, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8efc9cdf081908a777a04453a50bc |
completed | March 29, 2026, 9:24 a.m. |
Created at: March 27, 2026, 3:49 p.m.