Triple
T11984846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willy Wonka & the Chocolate Factory |
E285250
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Diana Sowle
Diana Sowle was an American actress best known for playing Charlie Bucket’s mother in the 1971 film "Willy Wonka & the Chocolate Factory."
|
E1028128
|
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: Diana Sowle | Statement: [Willy Wonka & the Chocolate Factory, castMember, Diana Sowle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Sowle Context triple: [Willy Wonka & the Chocolate Factory, castMember, Diana Sowle]
-
A.
Elizabeth B. Prelogar
Elizabeth B. Prelogar is an American lawyer and legal scholar who serves as the chief advocate for the U.S. government before the Supreme Court.
-
B.
Kaye V. Dowling
Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
-
C.
Barbara M. Rolph
Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
-
D.
Judie G. Hoyt
Judie G. Hoyt is a film producer best known for her work on the acclaimed crime drama "Mystic River."
-
E.
Bonnie J. Dunbar
Bonnie J. Dunbar is an American engineer and former NASA astronaut who flew on five Space Shuttle missions and later became a prominent leader in aerospace education and research.
- 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: Diana Sowle Triple: [Willy Wonka & the Chocolate Factory, castMember, Diana Sowle]
Generated description
Diana Sowle was an American actress best known for playing Charlie Bucket’s mother in the 1971 film "Willy Wonka & the Chocolate Factory."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diana Sowle Target entity description: Diana Sowle was an American actress best known for playing Charlie Bucket’s mother in the 1971 film "Willy Wonka & the Chocolate Factory."
-
A.
Elizabeth B. Prelogar
Elizabeth B. Prelogar is an American lawyer and legal scholar who serves as the chief advocate for the U.S. government before the Supreme Court.
-
B.
Kaye V. Dowling
Kaye V. Dowling was the wife of American film, radio, and television actor Hugh Marlowe.
-
C.
Barbara M. Rolph
Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
-
D.
Judie G. Hoyt
Judie G. Hoyt is a film producer best known for her work on the acclaimed crime drama "Mystic River."
-
E.
Bonnie J. Dunbar
Bonnie J. Dunbar is an American engineer and former NASA astronaut who flew on five Space Shuttle missions and later became a prominent leader in aerospace education and research.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef515488190957a69e1cc901d65 |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f6ffeec1e8819090e1917fc6449ede |
completed | May 3, 2026, 7:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7017d8d308190bb54958764026325 |
completed | May 3, 2026, 8:04 a.m. |
Created at: April 8, 2026, 9:46 p.m.