Triple
T12355545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paton |
E294601
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hugh Paton
Hugh Paton was a prominent 19th-century Canadian businessman and civic leader, best known as the long-serving president and manager of the Montreal Telegraph Company.
|
E1002106
|
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: Hugh Paton | Statement: [Paton, hasNotableBearer, Hugh Paton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Paton Context triple: [Paton, hasNotableBearer, Hugh Paton]
-
A.
Allan Pugh
Allan Pugh is an individual notable enough to be specifically recorded as a bearer of the surname Pugh.
-
B.
Hugh Millard
Hugh Millard is a British diplomat who has served as Commissioner of the British Antarctic Territory.
-
C.
Eric Rattray
Eric Rattray is a film producer best known for his work on the fantasy movie "Labyrinth."
-
D.
Guy Brunton
Guy Brunton was a British Egyptologist and archaeologist known for his excavations in Upper Egypt and his role in defining early predynastic cultures such as the Badarian.
-
E.
Hugh McDevitt
Hugh McDevitt is an immunologist renowned for his pioneering work on the genetic control of the immune response and the role of major histocompatibility complex (MHC) molecules in disease susceptibility.
- 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: Hugh Paton Triple: [Paton, hasNotableBearer, Hugh Paton]
Generated description
Hugh Paton was a prominent 19th-century Canadian businessman and civic leader, best known as the long-serving president and manager of the Montreal Telegraph Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugh Paton Target entity description: Hugh Paton was a prominent 19th-century Canadian businessman and civic leader, best known as the long-serving president and manager of the Montreal Telegraph Company.
-
A.
Allan Pugh
Allan Pugh is an individual notable enough to be specifically recorded as a bearer of the surname Pugh.
-
B.
Hugh Millard
Hugh Millard is a British diplomat who has served as Commissioner of the British Antarctic Territory.
-
C.
Eric Rattray
Eric Rattray is a film producer best known for his work on the fantasy movie "Labyrinth."
-
D.
Guy Brunton
Guy Brunton was a British Egyptologist and archaeologist known for his excavations in Upper Egypt and his role in defining early predynastic cultures such as the Badarian.
-
E.
Hugh McDevitt
Hugh McDevitt is an immunologist renowned for his pioneering work on the genetic control of the immune response and the role of major histocompatibility complex (MHC) molecules in disease susceptibility.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684d0315c8190988431785a7b1e1e |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f686b5fbe48190b365d53db3df80ce |
completed | May 2, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68713097881908f3f35b1c7814f60 |
completed | May 2, 2026, 11:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.