Triple
T7924183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Fichtner |
E184018
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Betsy Aidem
Betsy Aidem is an American actress known for her work in film, television, and theater.
|
E708255
|
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: Betsy Aidem | Statement: [William Fichtner, spouse, Betsy Aidem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Aidem Context triple: [William Fichtner, spouse, Betsy Aidem]
-
A.
Sheila Hancock
Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
-
B.
Lesley Garrett
Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
-
C.
Ruthie Henshall
Ruthie Henshall is an acclaimed British musical theatre actress and singer known for her leading roles in major West End and Broadway productions.
-
D.
Isla Phillips
Isla Phillips is a granddaughter of Princess Anne and the eldest great-grandchild of Queen Elizabeth II and Prince Philip.
-
E.
Shirley Henderson
Shirley Henderson is a Scottish actress known for her distinctive voice and roles in films such as the Bridget Jones series and the Harry Potter franchise.
- 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: Betsy Aidem Triple: [William Fichtner, spouse, Betsy Aidem]
Generated description
Betsy Aidem is an American actress known for her work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betsy Aidem Target entity description: Betsy Aidem is an American actress known for her work in film, television, and theater.
-
A.
Sheila Hancock
Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
-
B.
Lesley Garrett
Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
-
C.
Ruthie Henshall
Ruthie Henshall is an acclaimed British musical theatre actress and singer known for her leading roles in major West End and Broadway productions.
-
D.
Isla Phillips
Isla Phillips is a granddaughter of Princess Anne and the eldest great-grandchild of Queen Elizabeth II and Prince Philip.
-
E.
Shirley Henderson
Shirley Henderson is a Scottish actress known for her distinctive voice and roles in films such as the Bridget Jones series and the Harry Potter franchise.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aac02bc8190b13fc354a4fa91d3 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5643fd3081908fc9a413a7920145 |
completed | March 31, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69cc58a76b90819092de63b3b23e70af |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cfccc9c8190adcbaee96c17711e |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 5:06 p.m.