Triple
T2406250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King’s Man |
E50281
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Polly Wilkins
Polly Wilkins is a fictional character appearing in the action spy film "The King’s Man."
|
E264296
|
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: Polly Wilkins | Statement: [The King’s Man, featuresCharacter, Polly Wilkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polly Wilkins Context triple: [The King’s Man, featuresCharacter, Polly Wilkins]
-
A.
Dora Black
Dora Black was a British author, educator, and feminist best known for her radical views on marriage and sexuality and her influential partnership with philosopher Bertrand Russell.
-
B.
Mary Storer Potter
Mary Storer Potter was the first wife of American poet Henry Wadsworth Longfellow, whom he married in 1831 and who died tragically young.
-
C.
Petunia Dursley
Petunia Dursley is Harry Potter’s magic-hating Muggle aunt who, along with her husband Vernon, begrudgingly raises him in the Dursley household.
-
D.
Bess Meredyth
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
-
E.
Polly Maberly
Polly Maberly is an English actress best known for playing Kitty Bennet in the BBC’s 1995 adaptation of "Pride and Prejudice."
- 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: Polly Wilkins Triple: [The King’s Man, featuresCharacter, Polly Wilkins]
Generated description
Polly Wilkins is a fictional character appearing in the action spy film "The King’s Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polly Wilkins Target entity description: Polly Wilkins is a fictional character appearing in the action spy film "The King’s Man."
-
A.
Dora Black
Dora Black was a British author, educator, and feminist best known for her radical views on marriage and sexuality and her influential partnership with philosopher Bertrand Russell.
-
B.
Mary Storer Potter
Mary Storer Potter was the first wife of American poet Henry Wadsworth Longfellow, whom he married in 1831 and who died tragically young.
-
C.
Petunia Dursley
Petunia Dursley is Harry Potter’s magic-hating Muggle aunt who, along with her husband Vernon, begrudgingly raises him in the Dursley household.
-
D.
Bess Meredyth
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
-
E.
Polly Maberly
Polly Maberly is an English actress best known for playing Kitty Bennet in the BBC’s 1995 adaptation of "Pride and Prejudice."
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e95334819093923b0c36b968f2 |
completed | March 9, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_69aeb7b2d8f88190a12ce00000735fd6 |
completed | March 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb827504c8190bd458e79193d51cc |
completed | March 9, 2026, 12:08 p.m. |
Created at: March 4, 2026, 7:58 p.m.