Triple
T3630403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnett |
E76940
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ken Burnett
Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
|
E374983
|
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: Ken Burnett | Statement: [Burnett, hasNotableBearer, Ken Burnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Burnett Context triple: [Burnett, hasNotableBearer, Ken Burnett]
-
A.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
B.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
C.
Steven Pemberton
Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
-
D.
Robert Mann
Robert Mann was a 19th-century American man best known as the son of influential education reformer Horace Mann.
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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: Ken Burnett Triple: [Burnett, hasNotableBearer, Ken Burnett]
Generated description
Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Burnett Target entity description: Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
-
A.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
B.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
C.
Steven Pemberton
Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
-
D.
Robert Mann
Robert Mann was a 19th-century American man best known as the son of influential education reformer Horace Mann.
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc300223881909019982ebf194f78 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f12c2608190bd0eb25c9df97ec6 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b45092464c8190b9ad6db8c8845026 |
completed | March 13, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b450f261548190b5cd667b35453dcb |
completed | March 13, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:23 p.m.