Triple
T8083427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuttall |
E188671
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Nuttall
Michael Nuttall is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Nuttall.
|
E719671
|
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: Michael Nuttall | Statement: [Nuttall, hasNotableBearer, Michael Nuttall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Nuttall Context triple: [Nuttall, hasNotableBearer, Michael Nuttall]
-
A.
David Nuttall
David Nuttall is a British Conservative politician who served as the Member of Parliament for Bury North from 2010 to 2017.
-
B.
Harry Nuttall
Harry Nuttall is a British former racing driver and motorsport executive known for his involvement in Formula One management and driver representation.
-
C.
Amy Nuttall
Amy Nuttall is an English actress and singer best known for her roles in the television series "Emmerdale" and "Downton Abbey."
-
D.
Andrew Stearn
Andrew Stearn is a television producer known for his executive production work on the crime drama series "Animal Kingdom."
-
E.
David Sinnott
David Sinnott was a military leader associated with the defense of Wexford during the Irish Confederate Wars.
- 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: Michael Nuttall Triple: [Nuttall, hasNotableBearer, Michael Nuttall]
Generated description
Michael Nuttall is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Nuttall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Nuttall Target entity description: Michael Nuttall is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Nuttall.
-
A.
David Nuttall
David Nuttall is a British Conservative politician who served as the Member of Parliament for Bury North from 2010 to 2017.
-
B.
Harry Nuttall
Harry Nuttall is a British former racing driver and motorsport executive known for his involvement in Formula One management and driver representation.
-
C.
Amy Nuttall
Amy Nuttall is an English actress and singer best known for her roles in the television series "Emmerdale" and "Downton Abbey."
-
D.
Andrew Stearn
Andrew Stearn is a television producer known for his executive production work on the crime drama series "Animal Kingdom."
-
E.
David Sinnott
David Sinnott was a military leader associated with the defense of Wexford during the Irish Confederate Wars.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415cb4688190920868317e77bbff |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cceceb7fa48190b1013a25fd8f14a5 |
completed | April 1, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69ccf09a952c8190ace6a9f0012ad90a |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd055292088190927046793cec1c36 |
completed | April 1, 2026, 11:45 a.m. |
Created at: March 30, 2026, 5:29 p.m.