Triple
T12533654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer |
E299630
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Amanda Greer
Amanda Greer is a person notable enough to be recognized as a bearer of the surname Greer, though specific widely known public details about her are not clearly established.
|
E1047804
|
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: Amanda Greer | Statement: [Greer, hasNotableBearer, Amanda Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Greer Context triple: [Greer, hasNotableBearer, Amanda Greer]
-
A.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
B.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
C.
Amanda Posey
Amanda Posey is a British film producer known for her work on acclaimed literary adaptations and character-driven dramas.
-
D.
Amanda Coe
Amanda Coe is a British screenwriter and novelist known for her work on acclaimed television dramas and literary fiction.
-
E.
Kate Healey
Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
- 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: Amanda Greer Triple: [Greer, hasNotableBearer, Amanda Greer]
Generated description
Amanda Greer is a person notable enough to be recognized as a bearer of the surname Greer, though specific widely known public details about her are not clearly established.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Greer Target entity description: Amanda Greer is a person notable enough to be recognized as a bearer of the surname Greer, though specific widely known public details about her are not clearly established.
-
A.
Sarah Greer
Sarah Greer is a British academic and higher education leader who serves as Vice-Chancellor of the University of Winchester.
-
B.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
C.
Amanda Posey
Amanda Posey is a British film producer known for her work on acclaimed literary adaptations and character-driven dramas.
-
D.
Amanda Coe
Amanda Coe is a British screenwriter and novelist known for her work on acclaimed television dramas and literary fiction.
-
E.
Kate Healey
Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
- 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_69f75d78433081909ae0278e9e1abacb |
completed | May 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69f75ee662e88190ae8006f056860389 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7629cf90881908a341a565a84aede |
completed | May 3, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:57 p.m.