Triple
T10089858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea King |
E215313
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nat Willis
Nat Willis is known primarily as the husband of British-American actress Andrea King.
|
E840908
|
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: Nat Willis | Statement: [Andrea King, spouse, Nat Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nat Willis Context triple: [Andrea King, spouse, Nat Willis]
-
A.
John Willis
John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
C.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
-
D.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
-
E.
Ted Willis
Ted Willis was a prominent British screenwriter and playwright known for his prolific work in film and television during the mid-20th century.
- 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: Nat Willis Triple: [Andrea King, spouse, Nat Willis]
Generated description
Nat Willis is known primarily as the husband of British-American actress Andrea King.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nat Willis Target entity description: Nat Willis is known primarily as the husband of British-American actress Andrea King.
-
A.
John Willis
John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
C.
Brian David Willis
Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
-
D.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
-
E.
Ted Willis
Ted Willis was a prominent British screenwriter and playwright known for his prolific work in film and television during the mid-20th century.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05960008190baecb8e4c9f2461f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b69cd26c8190bf4b488377dc0ce1 |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b7901ea08190a48e984356bd3d71 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b8813f9c8190a85462efb7a0a517 |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:01 p.m.