Triple

T1953830
Position Surface form Disambiguated ID Type / Status
Subject Grosset & Dunlap E42217 entity
Predicate foundedBy P104 FINISHED
Object Alexander Grosset
Alexander Grosset was a publisher best known as the co-founder of the American publishing house Grosset & Dunlap.
E227107 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: Alexander Grosset | Statement: [Grosset & Dunlap, foundedBy, Alexander Grosset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Grosset
Context triple: [Grosset & Dunlap, foundedBy, Alexander Grosset]
  • A. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • B. Henry Moret
    Henry Moret was a French Post-Impressionist painter best known for his vibrant coastal landscapes of Brittany and his association with the Pont-Aven artistic circle.
  • C. Albert Akst
    Albert Akst was an American film editor known for his work on numerous Hollywood productions, particularly musicals, during the mid-20th century.
  • D. August Zaleski
    August Zaleski was a Polish diplomat and politician who served as President of Poland in exile after World War II.
  • E. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • 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: Alexander Grosset
Triple: [Grosset & Dunlap, foundedBy, Alexander Grosset]
Generated description
Alexander Grosset was a publisher best known as the co-founder of the American publishing house Grosset & Dunlap.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alexander Grosset
Target entity description: Alexander Grosset was a publisher best known as the co-founder of the American publishing house Grosset & Dunlap.
  • A. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • B. Henry Moret
    Henry Moret was a French Post-Impressionist painter best known for his vibrant coastal landscapes of Brittany and his association with the Pont-Aven artistic circle.
  • C. Albert Akst
    Albert Akst was an American film editor known for his work on numerous Hollywood productions, particularly musicals, during the mid-20th century.
  • D. August Zaleski
    August Zaleski was a Polish diplomat and politician who served as President of Poland in exile after World War II.
  • E. Stephen Poliakoff
    Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb351c148819080173c09876e814a completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acad6408190ac31a3f817df1360 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b9c8d3881908582542da9176ede completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0f609210819093427e1d73b61198 completed March 9, 2026, 12:08 a.m.
Created at: March 4, 2026, 7:36 p.m.