Triple
T5589150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes, Dear |
E146831
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Emily Warner
Emily Warner is a central character on the American sitcom "Yes, Dear," portrayed as a young mother navigating family life and everyday comedic challenges.
|
E540575
|
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: Emily Warner | Statement: [Yes, Dear, featuresCharacter, Emily Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Warner Context triple: [Yes, Dear, featuresCharacter, Emily Warner]
-
A.
Sarah Warren
Sarah Warren was a daughter of Mayflower passenger Richard Warren, belonging to one of the early English settler families in colonial New England.
-
B.
Emily Warren
Emily Warren was an American engineer and women’s rights advocate best known for her crucial role in overseeing the completion of the Brooklyn Bridge in the late 19th century.
-
C.
Emma Walter
Emma Walter was the wife of famed Old West lawman, gambler, and sportswriter Bat Masterson.
-
D.
Anna Warren
Anna Warren is a historical figure known primarily as a daughter of Mayflower passenger and Plymouth Colony settler Richard Warren.
-
E.
Nina Bruce Warren
Nina Bruce Warren is an American woman best known as the mother of actor and filmmaker George Clooney.
- 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: Emily Warner Triple: [Yes, Dear, featuresCharacter, Emily Warner]
Generated description
Emily Warner is a central character on the American sitcom "Yes, Dear," portrayed as a young mother navigating family life and everyday comedic challenges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Warner Target entity description: Emily Warner is a central character on the American sitcom "Yes, Dear," portrayed as a young mother navigating family life and everyday comedic challenges.
-
A.
Sarah Warren
Sarah Warren was a daughter of Mayflower passenger Richard Warren, belonging to one of the early English settler families in colonial New England.
-
B.
Emily Warren
Emily Warren was an American engineer and women’s rights advocate best known for her crucial role in overseeing the completion of the Brooklyn Bridge in the late 19th century.
-
C.
Emma Walter
Emma Walter was the wife of famed Old West lawman, gambler, and sportswriter Bat Masterson.
-
D.
Anna Warren
Anna Warren is a historical figure known primarily as a daughter of Mayflower passenger and Plymouth Colony settler Richard Warren.
-
E.
Nina Bruce Warren
Nina Bruce Warren is an American woman best known as the mother of actor and filmmaker George Clooney.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209ff5d88190843b6d134390ab71 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059fc908c819087eb9b81fedffb4f |
completed | March 22, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69c05bb6a334819094cff84f16f5285c |
completed | March 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c7a03948190b38e2dfcb04fd93e |
completed | March 22, 2026, 9:17 p.m. |
Created at: March 22, 2026, 3:38 p.m.