Triple

T15534128
Position Surface form Disambiguated ID Type / Status
Subject Megan Smith E370298 entity
Predicate tutorOf P75840 FINISHED
Object Rose Baker
Rose Baker is a student who receives academic tutoring from Megan Smith.
E1191673 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: Rose Baker | Statement: [Megan Smith, tutorOf, Rose Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Baker
Context triple: [Megan Smith, tutorOf, Rose Baker]
  • A. Rose Baker
    Rose Baker is a fictional character typically portrayed as a young woman from a wealthy, socially advantaged background.
  • B. Pam Baker
    Pam Baker is best known as the longtime wife of English rock and blues singer Joe Cocker, with whom she shared a ranch in Colorado and managed aspects of his personal and professional life.
  • C. Virginia Baker
    Virginia Baker was the wife of American actor Jack Palance, with whom she shared a long marriage and family life outside his Hollywood career.
  • D. Barbara Baker
    Barbara Baker is an Australian jurist and former judge who serves as the Governor of Tasmania.
  • E. Anna Baker
    Anna Baker was the wife of American Impressionist painter Julian Alden Weir and a member of the social circle surrounding late 19th-century American art.
  • 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: Rose Baker
Triple: [Megan Smith, tutorOf, Rose Baker]
Generated description
Rose Baker is a student who receives academic tutoring from Megan Smith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rose Baker
Target entity description: Rose Baker is a student who receives academic tutoring from Megan Smith.
  • A. Rose Baker
    Rose Baker is a fictional character typically portrayed as a young woman from a wealthy, socially advantaged background.
  • B. Pam Baker
    Pam Baker is best known as the longtime wife of English rock and blues singer Joe Cocker, with whom she shared a ranch in Colorado and managed aspects of his personal and professional life.
  • C. Virginia Baker
    Virginia Baker was the wife of American actor Jack Palance, with whom she shared a long marriage and family life outside his Hollywood career.
  • D. Barbara Baker
    Barbara Baker is an Australian jurist and former judge who serves as the Governor of Tasmania.
  • E. Anna Baker
    Anna Baker was the wife of American Impressionist painter Julian Alden Weir and a member of the social circle surrounding late 19th-century American art.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414877d88190804ee76566004e13 completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbba9fb08190b800af317f0c9abf completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffddad79d0819085d4131eca0bda02 completed May 10, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ffde14228c81909e61814cbf44e013 completed May 10, 2026, 1:23 a.m.
Created at: April 10, 2026, 4:06 a.m.