Triple
T6521456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Countess from Hong Kong |
E151191
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Angela Scoular
Angela Scoular was a British actress best known for her roles in 1960s and 1970s film and television, including appearances in James Bond and Carry On productions.
|
E616601
|
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: Angela Scoular | Statement: [The Countess from Hong Kong, starring, Angela Scoular]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Scoular Context triple: [The Countess from Hong Kong, starring, Angela Scoular]
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Angela Biggs
Angela Biggs is the mother of American actor and comedian Jason Biggs.
-
C.
Alison Telfer
Alison Telfer is a British academic and editor best known as the longtime partner and former wife of Monty Python member Terry Jones.
-
D.
Lesley Laird
Lesley Laird is a Scottish Labour politician who served as a Member of Parliament and has been involved in UK and Scottish politics, including holding frontbench roles in the Labour Party.
-
E.
Lorna Crozier
Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
- 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: Angela Scoular Triple: [The Countess from Hong Kong, starring, Angela Scoular]
Generated description
Angela Scoular was a British actress best known for her roles in 1960s and 1970s film and television, including appearances in James Bond and Carry On productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Scoular Target entity description: Angela Scoular was a British actress best known for her roles in 1960s and 1970s film and television, including appearances in James Bond and Carry On productions.
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Angela Biggs
Angela Biggs is the mother of American actor and comedian Jason Biggs.
-
C.
Alison Telfer
Alison Telfer is a British academic and editor best known as the longtime partner and former wife of Monty Python member Terry Jones.
-
D.
Lesley Laird
Lesley Laird is a Scottish Labour politician who served as a Member of Parliament and has been involved in UK and Scottish politics, including holding frontbench roles in the Labour Party.
-
E.
Lorna Crozier
Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70ae2481c8190a3f0b5f46bc1a0b8 |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70b83f24c819091a6a2a7802c830f |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70f676e408190bc85a2760446d5d1 |
completed | March 27, 2026, 11:14 p.m. |
Created at: March 27, 2026, 1:45 p.m.