Triple
T8051117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturgeon |
E187674
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Barbara Sturgeon
Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
|
E717829
|
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: Barbara Sturgeon | Statement: [Sturgeon, hasNotableBearer, Barbara Sturgeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Sturgeon Context triple: [Sturgeon, hasNotableBearer, Barbara Sturgeon]
-
A.
Barbara McDougall
Barbara McDougall is a Canadian politician and former Progressive Conservative cabinet minister who served prominently in federal government roles in the late 20th century.
-
B.
Maureen Drummond
Maureen Drummond is a fictional character associated with Esther Drummond in the television series "Torchwood: Miracle Day."
-
C.
Mary Glendinning
Mary Glendinning is a central maternal figure in Herman Melville’s novel "Pierre; or, The Ambiguities," whose complex relationship with her son underscores the book’s themes of family, identity, and moral uncertainty.
-
D.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
E.
Barbara Leeds
Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
- 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: Barbara Sturgeon Triple: [Sturgeon, hasNotableBearer, Barbara Sturgeon]
Generated description
Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Sturgeon Target entity description: Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
-
A.
Barbara McDougall
Barbara McDougall is a Canadian politician and former Progressive Conservative cabinet minister who served prominently in federal government roles in the late 20th century.
-
B.
Maureen Drummond
Maureen Drummond is a fictional character associated with Esther Drummond in the television series "Torchwood: Miracle Day."
-
C.
Mary Glendinning
Mary Glendinning is a central maternal figure in Herman Melville’s novel "Pierre; or, The Ambiguities," whose complex relationship with her son underscores the book’s themes of family, identity, and moral uncertainty.
-
D.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
E.
Barbara Leeds
Barbara Leeds was an American actress best known for her film and television work in the mid-20th century.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f799d1481909c91039941af0e34 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecd365ac8190bcc156e3b7597d56 |
completed | April 1, 2026, 10 a.m. |
| NEDg | Description generation | batch_69ccf0982f4481908e2a59424fdf470f |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd051913708190a83f925cf0cbbaa1 |
completed | April 1, 2026, 11:44 a.m. |
Created at: March 30, 2026, 5:24 p.m.