Triple
T2351159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pugh |
E47450
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ronald Pugh
Ronald Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
|
E310586
|
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: Ronald Pugh | Statement: [Pugh, hasNotableBearer, Ronald Pugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Pugh Context triple: [Pugh, hasNotableBearer, Ronald Pugh]
-
A.
Clifton Pugh
Clifton Pugh was an Australian painter renowned for his expressive landscapes and politically charged portraits, including multiple Archibald Prize–winning works.
-
B.
John David Pugh
John David Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
-
C.
James Pugh
James Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
-
D.
Ronald Stephens
Ronald Stephens is a private individual known primarily as a relative of Wren Alexander Stephens.
-
E.
Peter Pugh
Peter Pugh is a British author and publisher best known for writing corporate and business histories, including works on major companies and institutions.
- 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: Ronald Pugh Triple: [Pugh, hasNotableBearer, Ronald Pugh]
Generated description
Ronald Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronald Pugh Target entity description: Ronald Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
-
A.
Clifton Pugh
Clifton Pugh was an Australian painter renowned for his expressive landscapes and politically charged portraits, including multiple Archibald Prize–winning works.
-
B.
John David Pugh
John David Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
-
C.
James Pugh
James Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
-
D.
Ronald Stephens
Ronald Stephens is a private individual known primarily as a relative of Wren Alexander Stephens.
-
E.
Peter Pugh
Peter Pugh is a British author and publisher best known for writing corporate and business histories, including works on major companies and institutions.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0559d1e708190bc8d28ed3706ae23 |
completed | March 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69b0600b4d588190b95be97da3ac0842 |
completed | March 10, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b062a6241c81909f3217a4a33aa4c6 |
completed | March 10, 2026, 6:27 p.m. |
Created at: March 4, 2026, 7:54 p.m.