Triple
T10954754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pajama Game |
E258815
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Reta Shaw
Reta Shaw was an American character actress best known for her comedic roles in mid-20th-century film, television, and Broadway productions.
|
E908275
|
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: Reta Shaw | Statement: [The Pajama Game, starring, Reta Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reta Shaw Context triple: [The Pajama Game, starring, Reta Shaw]
-
A.
Ruth Henshaw
Ruth Henshaw is a fictional character portrayed by American actress Frances Rafferty, likely in mid-20th-century film or television.
-
B.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
C.
Helen Shay
Helen Shay was the wife of American character actor Guy Kibbee, known for his roles in 1930s and 1940s Hollywood films.
-
D.
Jennifer Marlowe
Jennifer Marlowe is a glamorous, intelligent, and unflappable receptionist character from the WKRP in Cincinnati television franchise, known for subverting "dumb blonde" stereotypes.
-
E.
Wanda Muir
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
- 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: Reta Shaw Triple: [The Pajama Game, starring, Reta Shaw]
Generated description
Reta Shaw was an American character actress best known for her comedic roles in mid-20th-century film, television, and Broadway productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reta Shaw Target entity description: Reta Shaw was an American character actress best known for her comedic roles in mid-20th-century film, television, and Broadway productions.
-
A.
Ruth Henshaw
Ruth Henshaw is a fictional character portrayed by American actress Frances Rafferty, likely in mid-20th-century film or television.
-
B.
Aileen Marlowe
Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
-
C.
Helen Shay
Helen Shay was the wife of American character actor Guy Kibbee, known for his roles in 1930s and 1940s Hollywood films.
-
D.
Jennifer Marlowe
Jennifer Marlowe is a glamorous, intelligent, and unflappable receptionist character from the WKRP in Cincinnati television franchise, known for subverting "dumb blonde" stereotypes.
-
E.
Wanda Muir
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ff718c81909d4baebea3b56b83 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46283f41c8190ac3e1f196c5e4ca0 |
completed | April 19, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69e46c3448348190b2c062d21771066d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e46dadbc5c8190b41279a05731dc95 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:23 p.m.