Triple
T7549291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagan |
E178487
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tim Fagan
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
|
E671482
|
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: Tim Fagan | Statement: [Fagan, hasNotableBearer, Tim Fagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Fagan Context triple: [Fagan, hasNotableBearer, Tim Fagan]
-
A.
Dana Murray
Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
-
B.
Jarrod Dillon
Jarrod Dillon is a sports executive who serves as the president of Major League Soccer club Orlando City SC.
-
C.
Tim Rasmussen
Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
-
D.
Scott Dixon
Scott Dixon is a highly accomplished New Zealand racing driver widely regarded as one of the greatest competitors in IndyCar history.
-
E.
Scott Speed
Scott Speed is an American racing driver best known for becoming the first American to compete in Formula One in over a decade during the mid-2000s.
- 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: Tim Fagan Triple: [Fagan, hasNotableBearer, Tim Fagan]
Generated description
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Fagan Target entity description: Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
-
A.
Dana Murray
Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
-
B.
Jarrod Dillon
Jarrod Dillon is a sports executive who serves as the president of Major League Soccer club Orlando City SC.
-
C.
Tim Rasmussen
Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
-
D.
Scott Dixon
Scott Dixon is a highly accomplished New Zealand racing driver widely regarded as one of the greatest competitors in IndyCar history.
-
E.
Scott Speed
Scott Speed is an American racing driver best known for becoming the first American to compete in Formula One in over a decade during the mid-2000s.
- 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_69c84f2b0de48190a854b4d4935c2254 |
completed | March 28, 2026, 9:59 p.m. |
| NEDg | Description generation | batch_69c85188f2648190abf2224cf272f5ac |
completed | March 28, 2026, 10:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85238850081908fc50fa9c0f6c767 |
completed | March 28, 2026, 10:12 p.m. |
Created at: March 27, 2026, 3:49 p.m.