Triple
T8803493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongayi Chirisa |
E209466
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mrs. Harris Goes to Paris
Mrs. Harris Goes to Paris is a 2022 British-French comedy-drama film, based on Paul Gallico’s novel, about a widowed cleaning lady in 1950s London who embarks on a life-changing trip to Paris to buy a Christian Dior dress.
|
E759252
|
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: Mrs. Harris Goes to Paris | Statement: [Tongayi Chirisa, notableWork, Mrs. Harris Goes to Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Harris Goes to Paris Context triple: [Tongayi Chirisa, notableWork, Mrs. Harris Goes to Paris]
-
A.
The Second Best Exotic Marigold Hotel
The Second Best Exotic Marigold Hotel is a 2015 British comedy-drama film and sequel to The Best Exotic Marigold Hotel, following the continued adventures and romances of a group of British retirees in India.
-
B.
The Best Exotic Marigold Hotel
The Best Exotic Marigold Hotel is a British comedy-drama film about a group of British retirees who relocate to a seemingly luxurious retirement hotel in India, only to find it far less grand than advertised but ultimately life-changing.
-
C.
Mrs Brown
Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
-
D.
Emily in Paris
Emily in Paris is a romantic comedy-drama television series that follows a young American marketing executive navigating work, love, and culture clashes after relocating to Paris.
-
E.
Café Society
Café Society is a 2016 romantic comedy-drama film written and directed by Woody Allen, set in 1930s Hollywood and New York, in which Jesse Eisenberg stars as a young man navigating love and ambition in the glamorous café society of the era.
- 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: Mrs. Harris Goes to Paris Triple: [Tongayi Chirisa, notableWork, Mrs. Harris Goes to Paris]
Generated description
Mrs. Harris Goes to Paris is a 2022 British-French comedy-drama film, based on Paul Gallico’s novel, about a widowed cleaning lady in 1950s London who embarks on a life-changing trip to Paris to buy a Christian Dior dress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mrs. Harris Goes to Paris Target entity description: Mrs. Harris Goes to Paris is a 2022 British-French comedy-drama film, based on Paul Gallico’s novel, about a widowed cleaning lady in 1950s London who embarks on a life-changing trip to Paris to buy a Christian Dior dress.
-
A.
The Second Best Exotic Marigold Hotel
The Second Best Exotic Marigold Hotel is a 2015 British comedy-drama film and sequel to The Best Exotic Marigold Hotel, following the continued adventures and romances of a group of British retirees in India.
-
B.
The Best Exotic Marigold Hotel
The Best Exotic Marigold Hotel is a British comedy-drama film about a group of British retirees who relocate to a seemingly luxurious retirement hotel in India, only to find it far less grand than advertised but ultimately life-changing.
-
C.
Mrs Brown
Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
-
D.
Emily in Paris
Emily in Paris is a romantic comedy-drama television series that follows a young American marketing executive navigating work, love, and culture clashes after relocating to Paris.
-
E.
Café Society
Café Society is a 2016 romantic comedy-drama film written and directed by Woody Allen, set in 1930s Hollywood and New York, in which Jesse Eisenberg stars as a young man navigating love and ambition in the glamorous café society of the era.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f840d9c8190a88a61104969b0e5 |
completed | April 3, 2026, 7:43 a.m. |
| NEDg | Description generation | batch_69cf708dbd54819099efa4b5729d6298 |
completed | April 3, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7163e2088190bf252896cc4036b2 |
completed | April 3, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:44 p.m.