Triple
T12533633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer |
E299630
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kevin Greer
Kevin Greer is a person notable enough to be recognized as a prominent bearer of the surname Greer.
|
E997102
|
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: Kevin Greer | Statement: [Greer, hasNotableBearer, Kevin Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Greer Context triple: [Greer, hasNotableBearer, Kevin Greer]
-
A.
David Greer
David Greer is a personal name shared by multiple individuals, including professionals and public figures in fields such as business, academia, and the arts.
-
B.
Michael Talbott
Michael Talbott is an American actor best known for his role as Detective Stanley Switek on the 1980s television series "Miami Vice."
-
C.
Ian Greer
Ian Greer is a British academic and medical researcher who serves as the President and Vice-Chancellor of Queen’s University Belfast.
-
D.
David Reiman
David Reiman is a researcher who contributed as a co-author to the landmark 2021 Nature paper by Jumper et al. describing the AlphaFold protein structure prediction system.
-
E.
Michael Greer
Michael Greer is a name shared by multiple notable individuals, including figures in fields such as acting, activism, and public service.
- 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: Kevin Greer Triple: [Greer, hasNotableBearer, Kevin Greer]
Generated description
Kevin Greer is a person notable enough to be recognized as a prominent bearer of the surname Greer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Greer Target entity description: Kevin Greer is a person notable enough to be recognized as a prominent bearer of the surname Greer.
-
A.
David Greer
David Greer is a personal name shared by multiple individuals, including professionals and public figures in fields such as business, academia, and the arts.
-
B.
Michael Talbott
Michael Talbott is an American actor best known for his role as Detective Stanley Switek on the 1980s television series "Miami Vice."
-
C.
Ian Greer
Ian Greer is a British academic and medical researcher who serves as the President and Vice-Chancellor of Queen’s University Belfast.
-
D.
David Reiman
David Reiman is a researcher who contributed as a co-author to the landmark 2021 Nature paper by Jumper et al. describing the AlphaFold protein structure prediction system.
-
E.
Michael Greer
Michael Greer is a name shared by multiple notable individuals, including figures in fields such as acting, activism, and public service.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718cd6288190ad080f469f334caf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 8, 2026, 9:57 p.m.