Triple

T17444342
Position Surface form Disambiguated ID Type / Status
Subject Lin Oliver E424740 entity
Predicate coAuthor P398 FINISHED
Object Rebecca Steinbeck
Rebecca Steinbeck is an author known for co-writing works with prolific children's and young adult writer Lin Oliver.
E1269731 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: Rebecca Steinbeck | Statement: [Lin Oliver, coAuthor, Rebecca Steinbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Steinbeck
Context triple: [Lin Oliver, coAuthor, Rebecca Steinbeck]
  • A. Susan Andrews
    Susan Andrews is the wife of American political commentator and television host Tucker Carlson.
  • B. Dorothy Jordan
    Dorothy Jordan was an American silent film actress best known for her work in early Hollywood cinema during the late 1920s and early 1930s.
  • C. Doris Sawyer
    Doris Sawyer was the wife of senior Royal Air Force commander Trafford Leigh-Mallory, associated with his career during the Second World War.
  • D. Ellen Bernard
    Ellen Bernard is a fictional character in the U.S. television series "The Office," known as the mother of salesman and a cappella enthusiast Andy Bernard.
  • E. Ona Munson
    Ona Munson was an American actress best remembered for her role as Belle Watling in the film "Gone with the Wind" and for her work on stage and in early Hollywood cinema.
  • 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: Rebecca Steinbeck
Triple: [Lin Oliver, coAuthor, Rebecca Steinbeck]
Generated description
Rebecca Steinbeck is an author known for co-writing works with prolific children's and young adult writer Lin Oliver.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rebecca Steinbeck
Target entity description: Rebecca Steinbeck is an author known for co-writing works with prolific children's and young adult writer Lin Oliver.
  • A. Susan Andrews
    Susan Andrews is the wife of American political commentator and television host Tucker Carlson.
  • B. Dorothy Jordan
    Dorothy Jordan was an American silent film actress best known for her work in early Hollywood cinema during the late 1920s and early 1930s.
  • C. Doris Sawyer
    Doris Sawyer was the wife of senior Royal Air Force commander Trafford Leigh-Mallory, associated with his career during the Second World War.
  • D. Ellen Bernard
    Ellen Bernard is a fictional character in the U.S. television series "The Office," known as the mother of salesman and a cappella enthusiast Andy Bernard.
  • E. Ona Munson
    Ona Munson was an American actress best remembered for her role as Belle Watling in the film "Gone with the Wind" and for her work on stage and in early Hollywood cinema.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffa2d84819086474649eba1065c completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff85fa0819098b01ec5a7ebb730 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0cd1df481908c760bdfcacba496 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b208e6d8819080a363da368ec2e9 completed May 11, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:47 a.m.