Triple

T6730644
Position Surface form Disambiguated ID Type / Status
Subject Without a Paddle E153624 entity
Predicate starring P1507 FINISHED
Object Rachel Blanchard
Rachel Blanchard is a Canadian actress known for her roles in film and television, including the series "Clueless" and various comedy and drama projects.
E622529 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: Rachel Blanchard | Statement: [Without a Paddle, starring, Rachel Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Blanchard
Context triple: [Without a Paddle, starring, Rachel Blanchard]
  • A. Susan Blanchard
    Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
  • B. Betsy Blair
    Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
  • C. Mary Margaret Blanchard
    Mary Margaret Blanchard is a central character in the TV series "Once Upon a Time," the Storybrooke schoolteacher who is actually Snow White under a curse.
  • D. Alicia Bradford
    Alicia Bradford was the wife of American industrialist and philanthropist Alfred I. du Pont.
  • E. Jane Cashion
    Jane Cashion is known as the wife of longtime NFL referee Red Cashion.
  • 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: Rachel Blanchard
Triple: [Without a Paddle, starring, Rachel Blanchard]
Generated description
Rachel Blanchard is a Canadian actress known for her roles in film and television, including the series "Clueless" and various comedy and drama projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rachel Blanchard
Target entity description: Rachel Blanchard is a Canadian actress known for her roles in film and television, including the series "Clueless" and various comedy and drama projects.
  • A. Susan Blanchard
    Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
  • B. Betsy Blair
    Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
  • C. Mary Margaret Blanchard
    Mary Margaret Blanchard is a central character in the TV series "Once Upon a Time," the Storybrooke schoolteacher who is actually Snow White under a curse.
  • D. Alicia Bradford
    Alicia Bradford was the wife of American industrialist and philanthropist Alfred I. du Pont.
  • E. Jane Cashion
    Jane Cashion is known as the wife of longtime NFL referee Red Cashion.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723be89c88190b4e231099b2a3071 completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c727def73c819084179f47b476dbd8 completed March 28, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69c727f722bc8190b8afa3adb4117e7f completed March 28, 2026, 12:59 a.m.
Created at: March 27, 2026, 2:09 p.m.