Triple
T2221851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan |
E48157
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alexander Nolan
Alexander Nolan is an individual notable enough to be recognized as a prominent bearer of the surname Nolan.
|
E246252
|
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: Alexander Nolan | Statement: [Nolan, hasNotableBearer, Alexander Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Nolan Context triple: [Nolan, hasNotableBearer, Alexander Nolan]
-
A.
Alexander Parris
Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
-
B.
Matthew Lewis
Matthew Lewis was the father of English Gothic novelist and playwright Matthew Gregory Lewis, best known for his son’s authorship of the novel "The Monk."
-
C.
Matthew Lewis
Matthew Lewis is an English actor best known for playing Neville Longbottom in the Harry Potter film series.
-
D.
Alexander Kirk
Alexander Kirk is a fictional character who appears as a mysterious antagonist in the television series "The Blacklist."
-
E.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
- 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: Alexander Nolan Triple: [Nolan, hasNotableBearer, Alexander Nolan]
Generated description
Alexander Nolan is an individual notable enough to be recognized as a prominent bearer of the surname Nolan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexander Nolan Target entity description: Alexander Nolan is an individual notable enough to be recognized as a prominent bearer of the surname Nolan.
-
A.
Alexander Parris
Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
-
B.
Matthew Lewis
Matthew Lewis was the father of English Gothic novelist and playwright Matthew Gregory Lewis, best known for his son’s authorship of the novel "The Monk."
-
C.
Matthew Lewis
Matthew Lewis is an English actor best known for playing Neville Longbottom in the Harry Potter film series.
-
D.
Alexander Kirk
Alexander Kirk is a fictional character who appears as a mysterious antagonist in the television series "The Blacklist."
-
E.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65605fa481908ac5b9d837600626 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae669aa29c81909770cd69d27c274c |
completed | March 9, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66fb7f1c8190b2bc306f06c423f1 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:47 p.m.