Triple
T13236078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Send Me No Flowers |
E315149
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Pauline Drake
Pauline Drake is an actress known for her role in the 1964 romantic comedy film "Send Me No Flowers."
|
E1029999
|
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: Pauline Drake | Statement: [Send Me No Flowers, starring, Pauline Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pauline Drake Context triple: [Send Me No Flowers, starring, Pauline Drake]
-
A.
Della Myers
Della Myers is the suburban housewife protagonist of the thriller film "While She Was Out," who is forced into a violent struggle for survival after a routine errand turns deadly.
-
B.
Lucille Sheardown
Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
-
C.
Dinah Drake
Dinah Drake is a Golden Age DC Comics superhero best known as the original Black Canary and a founding-era member of the Justice Society of America.
-
D.
Sarah Davenport
Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
-
E.
Edie Pegden
Edie Pegden is a family member of mathematician Wesley Pegden, known primarily in relation to him.
- 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: Pauline Drake Triple: [Send Me No Flowers, starring, Pauline Drake]
Generated description
Pauline Drake is an actress known for her role in the 1964 romantic comedy film "Send Me No Flowers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pauline Drake Target entity description: Pauline Drake is an actress known for her role in the 1964 romantic comedy film "Send Me No Flowers."
-
A.
Della Myers
Della Myers is the suburban housewife protagonist of the thriller film "While She Was Out," who is forced into a violent struggle for survival after a routine errand turns deadly.
-
B.
Lucille Sheardown
Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
-
C.
Dinah Drake
Dinah Drake is a Golden Age DC Comics superhero best known as the original Black Canary and a founding-era member of the Justice Society of America.
-
D.
Sarah Davenport
Sarah Davenport was the wife of colonial American Congregational minister and educator Eleazar Wheelock, founder of Dartmouth College.
-
E.
Edie Pegden
Edie Pegden is a family member of mathematician Wesley Pegden, known primarily in relation to him.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a35ccc88190881a7066b7af8fea |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70c000da081909297f3d24666b6a5 |
completed | May 3, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ce60a7081908f9498fcfec98e90 |
completed | May 3, 2026, 8:52 a.m. |
Created at: April 9, 2026, 9:22 p.m.