Triple
T11416275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilma Flintstone |
E270498
|
entity |
| Predicate | portrayedByVoice |
P13156
|
FINISHED |
| Object |
Jean Vander Pyl
Jean Vander Pyl was an American voice actress best known for voicing Wilma Flintstone on the classic animated television series "The Flintstones."
|
E925917
|
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: Jean Vander Pyl | Statement: [Wilma Flintstone, portrayedByVoice, Jean Vander Pyl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Vander Pyl Context triple: [Wilma Flintstone, portrayedByVoice, Jean Vander Pyl]
-
A.
Kip Pardue
Kip Pardue is an American actor and former model best known for his roles in films like "Remember the Titans" and "Driven."
-
B.
Sam O'Steen
Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
-
C.
Eric Bedford
Eric Bedford was a British architect best known for designing London’s iconic BT Tower in the 1960s.
-
D.
Arthur Strawn
Arthur Strawn was an American screenwriter active during the early 20th century, known for his work on several Hollywood films.
-
E.
Rusty Baillie
Rusty Baillie is a pioneering British rock climber and mountaineer known for making historic first ascents in the UK during the mid-20th century.
- 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: Jean Vander Pyl Triple: [Wilma Flintstone, portrayedByVoice, Jean Vander Pyl]
Generated description
Jean Vander Pyl was an American voice actress best known for voicing Wilma Flintstone on the classic animated television series "The Flintstones."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Vander Pyl Target entity description: Jean Vander Pyl was an American voice actress best known for voicing Wilma Flintstone on the classic animated television series "The Flintstones."
-
A.
Kip Pardue
Kip Pardue is an American actor and former model best known for his roles in films like "Remember the Titans" and "Driven."
-
B.
Sam O'Steen
Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
-
C.
Eric Bedford
Eric Bedford was a British architect best known for designing London’s iconic BT Tower in the 1960s.
-
D.
Arthur Strawn
Arthur Strawn was an American screenwriter active during the early 20th century, known for his work on several Hollywood films.
-
E.
Rusty Baillie
Rusty Baillie is a pioneering British rock climber and mountaineer known for making historic first ascents in the UK during the mid-20th century.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801ae47d0819098123505309c4a68 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d352283c8190b3ae7cefbd3bd5da |
completed | April 20, 2026, 7:18 a.m. |
| NEDg | Description generation | batch_69e5d5cac9108190b7756329bfa320d3 |
completed | April 20, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d7f238cc8190a1c2dd26bdc5ff77 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:34 p.m.