Triple
T10469612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call the Midwife |
E246889
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Valerie Dyer
Valerie Dyer is a compassionate and capable midwife in the British period drama series "Call the Midwife," known for her strong work ethic, warmth, and resilience in the face of personal and professional challenges.
|
E887882
|
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: Valerie Dyer | Statement: [Call the Midwife, mainCharacter, Valerie Dyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valerie Dyer Context triple: [Call the Midwife, mainCharacter, Valerie Dyer]
-
A.
Lynn Varley
Lynn Varley is an American comic book colorist best known for her influential, atmospheric coloring work on Frank Miller’s graphic novels, including "The Dark Knight Returns" and "300."
-
B.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
C.
Valerie Booth
Valerie Booth is a film producer known for her work on the British crime biopic "The Krays."
-
D.
Valerie Stearn
Valerie Stearn is the wife of acclaimed American biographer and historian Ron Chernow.
-
E.
Valerie Scott
Valerie Scott is best known as the former wife of American actor Ving Rhames.
- 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: Valerie Dyer Triple: [Call the Midwife, mainCharacter, Valerie Dyer]
Generated description
Valerie Dyer is a compassionate and capable midwife in the British period drama series "Call the Midwife," known for her strong work ethic, warmth, and resilience in the face of personal and professional challenges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valerie Dyer Target entity description: Valerie Dyer is a compassionate and capable midwife in the British period drama series "Call the Midwife," known for her strong work ethic, warmth, and resilience in the face of personal and professional challenges.
-
A.
Lynn Varley
Lynn Varley is an American comic book colorist best known for her influential, atmospheric coloring work on Frank Miller’s graphic novels, including "The Dark Knight Returns" and "300."
-
B.
Eileen Shearer
Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
-
C.
Valerie Booth
Valerie Booth is a film producer known for her work on the British crime biopic "The Krays."
-
D.
Valerie Stearn
Valerie Stearn is the wife of acclaimed American biographer and historian Ron Chernow.
-
E.
Valerie Scott
Valerie Scott is best known as the former wife of American actor Ving Rhames.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8413f30c8190aebe1504e213b6cc |
completed | April 14, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 6, 2026, 12:20 p.m.