Triple
T12778746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeanette Nolan |
E305446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nolan
Nolan is a surname of Irish origin that has been borne by numerous notable figures in fields such as acting, sports, and politics.
|
E48157
|
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: Nolan | Statement: [Jeanette Nolan, familyName, Nolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nolan Context triple: [Jeanette Nolan, familyName, Nolan]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
C.
John
John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
-
D.
John
John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
-
E.
John
John Cicero was a late 15th-century Elector of Brandenburg from the House of Hohenzollern who helped consolidate the territory’s political and administrative structures within the Holy Roman Empire.
- 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: Nolan Triple: [Jeanette Nolan, familyName, Nolan]
Generated description
Nolan is a surname of Irish origin that has been borne by numerous notable figures in fields such as acting, sports, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nolan Target entity description: Nolan is a surname of Irish origin that has been borne by numerous notable figures in fields such as acting, sports, and politics.
-
A.
Nolan
chosen
Nolan is a common Irish surname that has been borne by numerous notable figures across fields such as film, sports, and politics.
-
B.
Nolan Ross
Nolan Ross is a brilliant, eccentric tech entrepreneur and loyal ally who plays a pivotal role in the drama series "Revenge."
-
C.
Nolan Grayson
Nolan Grayson is a powerful Viltrumite warrior living on Earth under the superhero identity Omni-Man in the Invincible comic and animated series.
-
D.
Nolan Gould
Nolan Gould is an American actor best known for playing the intellectually quirky Luke Dunphy on the hit television sitcom "Modern Family."
-
E.
Alexander Nolan
Alexander Nolan is an individual notable enough to be recognized as a prominent bearer of the surname Nolan.
- F. None of above.
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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f6873e6d548190a7bf25746e740c8a |
completed | May 2, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f689aea1048190b1425f289d1a611a |
completed | May 2, 2026, 11:33 p.m. |
Created at: April 9, 2026, 5:29 p.m.