Triple

T20329983
Position Surface form Disambiguated ID Type / Status
Subject Betty Cohen E492449 entity
Predicate givenName P17 FINISHED
Object Betty
Betty is a feminine given name commonly used in English-speaking countries, often as a diminutive of Elizabeth.
E352618 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 Cohen, givenName, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty
Context triple: [Betty Cohen, givenName, Betty]
  • A. 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.
  • B. 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.
  • C. Betty
    Betty is the birth name of iconic American actress Lauren Bacall, a legendary figure of Hollywood's Golden Age.
  • D. 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.
  • E. Betty
    Betty is the troubled, passionate young woman at the center of the French cult film "Betty Blue," whose intense love affair and psychological unraveling drive the story.
  • 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 Cohen, givenName, Betty]
Generated description
Betty is a feminine given name commonly used in English-speaking countries, often as a diminutive of Elizabeth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betty
Target entity description: Betty is a feminine given name commonly used in English-speaking countries, often as a diminutive of Elizabeth.
  • A. Betty chosen
    Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
  • B. 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.
  • C. 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."
  • D. Betty
    Betty is an alternate given name used by the American actress and author Brenda Joyce.
  • E. Betty
    Betty is the childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • F. None of above.

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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e6f5d08190bedf376bbb999ebc completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086951af848190ae8085b7917ea551 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6812a08190b4594fa9b6054355 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:22 a.m.