Triple
T12533644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer |
E299630
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Elizabeth Greer
Elizabeth Greer is a British actress known for her work in film, television, and theatre.
|
E1010107
|
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: Elizabeth Greer | Statement: [Greer, hasNotableBearer, Elizabeth Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Greer Context triple: [Greer, hasNotableBearer, Elizabeth Greer]
-
A.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
B.
Anne Plotkin
Anne Plotkin is known as the first wife of American actor, director, and writer Harold Ramis.
-
C.
Judith Reeves-Stevens
Judith Reeves-Stevens is a science fiction author and screenwriter best known for her collaborative work on Star Trek novels and television with her husband Garfield Reeves-Stevens.
-
D.
Kate Harwood
Kate Harwood is a British television producer and executive known for her work on high-profile drama series, including the acclaimed crime drama "Luther."
-
E.
Jean Sturgeon
Jean Sturgeon is an individual notable enough to be recognized as a bearer of the surname Sturgeon.
- 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: Elizabeth Greer Triple: [Greer, hasNotableBearer, Elizabeth Greer]
Generated description
Elizabeth Greer is a British actress known for her work in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Greer Target entity description: Elizabeth Greer is a British actress known for her work in film, television, and theatre.
-
A.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
B.
Anne Plotkin
Anne Plotkin is known as the first wife of American actor, director, and writer Harold Ramis.
-
C.
Judith Reeves-Stevens
Judith Reeves-Stevens is a science fiction author and screenwriter best known for her collaborative work on Star Trek novels and television with her husband Garfield Reeves-Stevens.
-
D.
Kate Harwood
Kate Harwood is a British television producer and executive known for her work on high-profile drama series, including the acclaimed crime drama "Luther."
-
E.
Jean Sturgeon
Jean Sturgeon is an individual notable enough to be recognized as a bearer of the surname Sturgeon.
- 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_69f6a537bb1881908a50073d4f27b66c |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a8db611c819086e48afa368df288 |
completed | May 3, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a9dc37d08190b658a2e1d8ac2d88 |
completed | May 3, 2026, 1:50 a.m. |
Created at: April 8, 2026, 9:57 p.m.