Triple
T10917464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy Come Home |
E257861
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Carol White
Carol White was a British actress best known for her powerful performances in socially conscious films of the 1960s, particularly in the kitchen-sink drama movement.
|
E910981
|
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: Carol White | Statement: [Cathy Come Home, starredActor, Carol White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol White Context triple: [Cathy Come Home, starredActor, Carol White]
-
A.
Alice White
Alice White was an American film actress prominent in the late silent and early sound eras of Hollywood cinema.
-
B.
Liz White
Liz White is a British actress best known for her role as WPC Annie Cartwright in the television drama series "Life on Mars."
-
C.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
D.
Anne Rennie
Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
-
E.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
- 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: Carol White Triple: [Cathy Come Home, starredActor, Carol White]
Generated description
Carol White was a British actress best known for her powerful performances in socially conscious films of the 1960s, particularly in the kitchen-sink drama movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol White Target entity description: Carol White was a British actress best known for her powerful performances in socially conscious films of the 1960s, particularly in the kitchen-sink drama movement.
-
A.
Alice White
Alice White was an American film actress prominent in the late silent and early sound eras of Hollywood cinema.
-
B.
Liz White
Liz White is a British actress best known for her role as WPC Annie Cartwright in the television drama series "Life on Mars."
-
C.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
D.
Anne Rennie
Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
-
E.
Lisa Blount
Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707ebdcc8190b42cafe21c667c82 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49677a2508190a113f9f24e318e48 |
completed | April 19, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 8, 2026, 9:22 p.m.