Triple
T15026163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Levy |
E378219
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Graham Outerbridge
Graham Outerbridge is an actor and producer known for his work in film and television and for being married to Canadian actress Sarah Levy.
|
E1199668
|
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: Graham Outerbridge | Statement: [Sarah Levy, spouse, Graham Outerbridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Outerbridge Context triple: [Sarah Levy, spouse, Graham Outerbridge]
-
A.
George Oatley
George Oatley was a British architect best known for designing prominent early 20th-century buildings in Bristol, England.
-
B.
Frank Bannister
Frank Bannister is a psychic investigator and con artist who can see and communicate with ghosts in the horror-comedy film "The Frighteners."
-
C.
James Eccles
James Eccles was a 19th-century British mountaineer noted for pioneering ascents in the Mont Blanc massif and other Alpine regions.
-
D.
Stanley Argyle
Stanley Argyle was an Australian politician who served as the Premier of Victoria in the early 1930s.
-
E.
John Bainbridge
John Bainbridge was a 17th-century English astronomer and physician noted for his early telescopic observations and influential astronomical writings.
- 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: Graham Outerbridge Triple: [Sarah Levy, spouse, Graham Outerbridge]
Generated description
Graham Outerbridge is an actor and producer known for his work in film and television and for being married to Canadian actress Sarah Levy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graham Outerbridge Target entity description: Graham Outerbridge is an actor and producer known for his work in film and television and for being married to Canadian actress Sarah Levy.
-
A.
George Oatley
George Oatley was a British architect best known for designing prominent early 20th-century buildings in Bristol, England.
-
B.
Frank Bannister
Frank Bannister is a psychic investigator and con artist who can see and communicate with ghosts in the horror-comedy film "The Frighteners."
-
C.
James Eccles
James Eccles was a 19th-century British mountaineer noted for pioneering ascents in the Mont Blanc massif and other Alpine regions.
-
D.
Stanley Argyle
Stanley Argyle was an Australian politician who served as the Premier of Victoria in the early 1930s.
-
E.
John Bainbridge
John Bainbridge was a 17th-century English astronomer and physician noted for his early telescopic observations and influential astronomical writings.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee31b70819092d0583100a7101a |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00029e85388190bccc4a1996e1738e |
completed | May 10, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003031a4c8190887000d0179e07e5 |
completed | May 10, 2026, 4:01 a.m. |
Created at: April 10, 2026, 2:58 a.m.