Triple
T22655327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Company (2018 West End revival) |
E559207
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Daisy Maywood
Daisy Maywood is a British stage actress and singer known for her performances in major West End productions and musical theatre revivals.
|
E1547866
|
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: Daisy Maywood | Statement: [Company (2018 West End revival), starring, Daisy Maywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daisy Maywood Context triple: [Company (2018 West End revival), starring, Daisy Maywood]
-
A.
Daisy Ainsworth
Daisy Ainsworth was the woman who served as the ceremonial sponsor of the U.S. Navy battleship USS Oregon at its launching.
-
B.
Daisy Kenyon
Daisy Kenyon is a 1947 romantic drama film starring Joan Crawford as a New York commercial artist entangled in a complex love triangle.
-
C.
Daisy Evans
Daisy Evans is a British singer and dancer best known as a member of the pop group S Club 8.
-
D.
Daisy Kensington
Daisy Kensington is a fictional character associated with the "Barefoot" series, known for her involvement in its central storyline and relationships.
-
E.
Daisy Mason
Daisy Mason is a kitchen maid who rises through the ranks in the early 20th-century English estate setting of the television series "Downton Abbey."
- 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: Daisy Maywood Triple: [Company (2018 West End revival), starring, Daisy Maywood]
Generated description
Daisy Maywood is a British stage actress and singer known for her performances in major West End productions and musical theatre revivals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daisy Maywood Target entity description: Daisy Maywood is a British stage actress and singer known for her performances in major West End productions and musical theatre revivals.
-
A.
Daisy Ainsworth
Daisy Ainsworth was the woman who served as the ceremonial sponsor of the U.S. Navy battleship USS Oregon at its launching.
-
B.
Daisy Kenyon
Daisy Kenyon is a 1947 romantic drama film starring Joan Crawford as a New York commercial artist entangled in a complex love triangle.
-
C.
Daisy Evans
Daisy Evans is a British singer and dancer best known as a member of the pop group S Club 8.
-
D.
Daisy Kensington
Daisy Kensington is a fictional character associated with the "Barefoot" series, known for her involvement in its central storyline and relationships.
-
E.
Daisy Mason
Daisy Mason is a kitchen maid who rises through the ranks in the early 20th-century English estate setting of the television series "Downton Abbey."
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765b93dc8190a0357dd4b6ae524a |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b586ad7e88190a2151f296cb52be8 |
completed | May 18, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_6a0b6f5f8bd08190b325b9dd91e199e1 |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7044c94c81909a43b04f40af2a15 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 17, 2026, 3:06 p.m.