Triple
T14226078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Comden |
E352619
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Betty
Betty is the given name of Betty Comden, the American lyricist, screenwriter, and performer best known for co-writing classic Hollywood musicals such as "Singin' in the Rain."
|
E1089110
|
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: Betty | Statement: [Betty Comden, givenName, Betty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Context triple: [Betty Comden, givenName, Betty]
-
A.
Betty
Betty is the young, resourceful heroine of the children's story "Betty's Bright Idea," known for her cleverness and problem-solving nature.
-
B.
Betty
Betty is the nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
-
C.
Betty
Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
-
D.
Betty
Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
-
E.
Betty
"Betty" is the Allied reporting name for the Mitsubishi G4M, a Japanese World War II twin-engine land-based bomber known for its long range and vulnerability due to lack of armor and self-sealing fuel tanks.
- 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: Betty Triple: [Betty Comden, givenName, Betty]
Generated description
Betty is the given name of Betty Comden, the American lyricist, screenwriter, and performer best known for co-writing classic Hollywood musicals such as "Singin' in the Rain."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Target entity description: Betty is the given name of Betty Comden, the American lyricist, screenwriter, and performer best known for co-writing classic Hollywood musicals such as "Singin' in the Rain."
-
A.
Betty
Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
-
B.
Betty
Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
-
C.
Betty
Betty is an alternate given name used by the American actress and author Brenda Joyce.
-
D.
Betty
Betty is the given name of Betty Wold Johnson, an American philanthropist and arts patron associated with the Johnson & Johnson family.
-
E.
Betty
Betty is the familiar nickname of Betty Ford, the former First Lady of the United States and founder of the Betty Ford Center for substance abuse treatment.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324f501081908f7017302bc40b3a |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33f6c8e08190810eab07ab94bc90 |
completed | May 8, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3453f7cc81909b183a8df2f5159f |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:06 a.m.