Triple
T8431759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Island |
E199129
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Paula Milne
Paula Milne is a British screenwriter known for her acclaimed work on television dramas and literary adaptations.
|
E755912
|
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: Paula Milne | Statement: [Small Island, screenwriter, Paula Milne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Milne Context triple: [Small Island, screenwriter, Paula Milne]
-
A.
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.
-
B.
Ann McMillan
Ann McMillan is the daughter of American physicist and Nobel laureate Edwin McMillan.
-
C.
Pamela Munro
Pamela Munro is an American linguist known for her extensive work documenting and analyzing Indigenous languages of the Americas, including the Maricopa language.
-
D.
Lorna Crozier
Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
-
E.
Lorna Patterson
Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
- 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: Paula Milne Triple: [Small Island, screenwriter, Paula Milne]
Generated description
Paula Milne is a British screenwriter known for her acclaimed work on television dramas and literary adaptations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paula Milne Target entity description: Paula Milne is a British screenwriter known for her acclaimed work on television dramas and literary adaptations.
-
A.
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.
-
B.
Ann McMillan
Ann McMillan is the daughter of American physicist and Nobel laureate Edwin McMillan.
-
C.
Pamela Munro
Pamela Munro is an American linguist known for her extensive work documenting and analyzing Indigenous languages of the Americas, including the Maricopa language.
-
D.
Lorna Crozier
Lorna Crozier is an acclaimed Canadian poet and educator known for her lyrical explorations of memory, landscape, and the human condition.
-
E.
Lorna Patterson
Lorna Patterson is an American actress best known for her comedic role as the singing stewardess in the classic parody film "Airplane!"
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42328b0c8190869e68226e0b467f |
completed | April 3, 2026, 4:29 a.m. |
| NEDg | Description generation | batch_69cf459e12748190b7aaf2e33a1944fd |
completed | April 3, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf460d555081908fcb69dd3895fda0 |
completed | April 3, 2026, 4:46 a.m. |
Created at: March 30, 2026, 6:07 p.m.