Triple
T20022789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gresham College |
E494903
|
entity |
| Predicate | hasNotableProfessor |
P13831
|
FINISHED |
| Object |
Sarah Jarvis
Sarah Jarvis is a British general practitioner, medical broadcaster, and health educator known for her public communication of medical issues.
|
E1406773
|
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: Sarah Jarvis | Statement: [Gresham College, hasNotableProfessor, Sarah Jarvis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Jarvis Context triple: [Gresham College, hasNotableProfessor, Sarah Jarvis]
-
A.
Iris Taylor
Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
-
B.
Christina Scofield
Christina Scofield is a character in the television series "Prison Break," known as the estranged and morally ambiguous mother of protagonist Michael Scofield.
-
C.
Sarah Frye
Sarah Frye is a notable individual distinguished enough to be recognized as a prominent bearer of the Frye surname.
-
D.
Grace Waters
Grace Waters is the central character in Tyler Perry's thriller "A Fall from Grace," a middle-aged woman whose life unravels after a seemingly perfect romance turns dangerously deceptive.
-
E.
Jill Taylor
Jill Taylor is a costume designer best known for her work on the 1996 television film "Doctor Who: The Movie."
- 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: Sarah Jarvis Triple: [Gresham College, hasNotableProfessor, Sarah Jarvis]
Generated description
Sarah Jarvis is a British general practitioner, medical broadcaster, and health educator known for her public communication of medical issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Jarvis Target entity description: Sarah Jarvis is a British general practitioner, medical broadcaster, and health educator known for her public communication of medical issues.
-
A.
Iris Taylor
Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
-
B.
Christina Scofield
Christina Scofield is a character in the television series "Prison Break," known as the estranged and morally ambiguous mother of protagonist Michael Scofield.
-
C.
Sarah Frye
Sarah Frye is a notable individual distinguished enough to be recognized as a prominent bearer of the Frye surname.
-
D.
Grace Waters
Grace Waters is the central character in Tyler Perry's thriller "A Fall from Grace," a middle-aged woman whose life unravels after a seemingly perfect romance turns dangerously deceptive.
-
E.
Jill Taylor
Jill Taylor is a costume designer best known for her work on the 1996 television film "Doctor Who: The Movie."
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66288fc18819083833b55c5e069a6 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e2d32008190a770addba6e44adb |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080ec9c56481908b69834b5a1ae105 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f6e218c8190b4c7b0d5de9f984c |
completed | May 16, 2026, 6:32 a.m. |
Created at: April 11, 2026, 3:35 p.m.