Triple
T3031237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Courtenay |
E82898
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Isabel Crossley
Isabel Crossley is best known as the wife of acclaimed English actor Tom Courtenay.
|
E320551
|
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: Isabel Crossley | Statement: [Tom Courtenay, spouse, Isabel Crossley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabel Crossley Context triple: [Tom Courtenay, spouse, Isabel Crossley]
-
A.
Isabel Bradley
Isabel Bradley is a central character in the 1946 film adaptation of W. Somerset Maugham's "The Razor's Edge," known as a sophisticated, ambitious socialite whose choices profoundly affect the protagonist's spiritual journey.
-
B.
Isabella Strahan
Isabella Strahan is an American college student and model best known as the daughter of former NFL star and television personality Michael Strahan.
-
C.
Isabel Lucas
Isabel Lucas is an Australian actress known for her roles in films such as "Transformers: Revenge of the Fallen," "Immortals," and various Australian television series.
-
D.
Isabel Wilson
Isabel Wilson was the first wife of American pop artist Roy Lichtenstein, married to him during the early years of his career.
-
E.
Isabel Booth
Isabel Booth is a member of the Booth family and the sister of American film actress Edwina Booth.
- 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: Isabel Crossley Triple: [Tom Courtenay, spouse, Isabel Crossley]
Generated description
Isabel Crossley is best known as the wife of acclaimed English actor Tom Courtenay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isabel Crossley Target entity description: Isabel Crossley is best known as the wife of acclaimed English actor Tom Courtenay.
-
A.
Isabel Bradley
Isabel Bradley is a central character in the 1946 film adaptation of W. Somerset Maugham's "The Razor's Edge," known as a sophisticated, ambitious socialite whose choices profoundly affect the protagonist's spiritual journey.
-
B.
Isabella Strahan
Isabella Strahan is an American college student and model best known as the daughter of former NFL star and television personality Michael Strahan.
-
C.
Isabel Lucas
Isabel Lucas is an Australian actress known for her roles in films such as "Transformers: Revenge of the Fallen," "Immortals," and various Australian television series.
-
D.
Isabel Wilson
Isabel Wilson was the first wife of American pop artist Roy Lichtenstein, married to him during the early years of his career.
-
E.
Isabel Booth
Isabel Booth is a member of the Booth family and the sister of American film actress Edwina Booth.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1debd245c819081eb2dec470f9156 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1dfc77c1881909688d5037682fa01 |
completed | March 11, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e03121148190840fc48a50c4ec0e |
completed | March 11, 2026, 9:35 p.m. |
Created at: March 8, 2026, 3:01 p.m.