Triple

T6578459
Position Surface form Disambiguated ID Type / Status
Subject Betty Talmadge E157230 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 Talmadge, givenName, Betty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty
Context triple: [Betty Talmadge, 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 childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • 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 Talmadge, 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 childhood nickname of Elizabeth Parris, the young girl whose strange afflictions helped spark the Salem witch trials in 1692.
  • 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 nickname of Australian sprinter and four-time Olympic gold medalist Betty Cuthbert, famed for her dominance in the 1956 Melbourne Games.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8dad608190b4708368a7af6e5d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42945348190882e6ffd05977d36 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e5b236888190b108de51c730179a completed March 27, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7cc21548190b302e2e31f9cadd0 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:54 p.m.