Triple

T4955498
Position Surface form Disambiguated ID Type / Status
Subject Louise Erdrich E111270 entity
Predicate notableWork P4 FINISHED
Object LaRose
LaRose is a novel by Louise Erdrich that explores grief, justice, and intergenerational trauma within a contemporary Ojibwe community after a tragic accidental killing.
E483619 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: LaRose | Statement: [Louise Erdrich, notableWork, LaRose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaRose
Context triple: [Louise Erdrich, notableWork, LaRose]
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • C. DeLouise
    DeLouise is the family surname of American actor Burt Young, best known for his role as Paulie in the "Rocky" film series.
  • D. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • E. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • 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: LaRose
Triple: [Louise Erdrich, notableWork, LaRose]
Generated description
LaRose is a novel by Louise Erdrich that explores grief, justice, and intergenerational trauma within a contemporary Ojibwe community after a tragic accidental killing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LaRose
Target entity description: LaRose is a novel by Louise Erdrich that explores grief, justice, and intergenerational trauma within a contemporary Ojibwe community after a tragic accidental killing.
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • C. DeLouise
    DeLouise is the family surname of American actor Burt Young, best known for his role as Paulie in the "Rocky" film series.
  • D. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • E. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71babb44819085b4cd4864433e79 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81de17748190a26abda7d3703b8e completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8386d2fc8190a450b42dd5ac6963 completed March 21, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69be841d148881908aa53953bd2eb024 completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:32 p.m.