Triple
T8051121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturgeon |
E187674
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jean Sturgeon
Jean Sturgeon is an individual notable enough to be recognized as a bearer of the surname Sturgeon.
|
E724713
|
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: Jean Sturgeon | Statement: [Sturgeon, hasNotableBearer, Jean Sturgeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Sturgeon Context triple: [Sturgeon, hasNotableBearer, Jean Sturgeon]
-
A.
Barbara Sturgeon
Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
-
B.
Jean Grahame
Jean Grahame is the mother of American actress Gloria Grahame, known for her work in classic Hollywood cinema.
-
C.
Anne Heywood
Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
-
D.
Kathleen Gawthrop
Kathleen Gawthrop is best known as the second wife of legendary American golfer Arnold Palmer.
-
E.
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.
- 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: Jean Sturgeon Triple: [Sturgeon, hasNotableBearer, Jean Sturgeon]
Generated description
Jean Sturgeon is an individual notable enough to be recognized as a bearer of the surname Sturgeon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Sturgeon Target entity description: Jean Sturgeon is an individual notable enough to be recognized as a bearer of the surname Sturgeon.
-
A.
Barbara Sturgeon
Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
-
B.
Jean Grahame
Jean Grahame is the mother of American actress Gloria Grahame, known for her work in classic Hollywood cinema.
-
C.
Anne Heywood
Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
-
D.
Kathleen Gawthrop
Kathleen Gawthrop is best known as the second wife of legendary American golfer Arnold Palmer.
-
E.
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.
- 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_69cd946a5e188190b2ef0a07a885ade7 |
completed | April 1, 2026, 9:55 p.m. |
| NEDg | Description generation | batch_69cda342c10881908ebafc7853815424 |
completed | April 1, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdab736f208190a90bd4344b21a22c |
completed | April 1, 2026, 11:34 p.m. |
Created at: March 30, 2026, 5:24 p.m.