Triple

T611865
Position Surface form Disambiguated ID Type / Status
Subject Carol Burnett E12115 entity
Predicate givenName P17 FINISHED
Object Carol
Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
 E110920 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: Carol | Statement: [Carol Burnett, givenName, Carol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carol
Context triple: [Carol Burnett, givenName, Carol]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • C. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • 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: Carol
Triple: [Carol Burnett, givenName, Carol]
Generated description
Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carol
Target entity description: Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • C. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e07739481909930a6577c081b9e completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826c02e6c8190843304ae6e27ae37 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a83522fd90819083fb32eb7189e1e6 completed March 4, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69a835c147e08190ad7451472ebd2c72 completed March 4, 2026, 1:38 p.m.
Created at: March 1, 2026, 7:35 p.m.