Triple

T18226910
Position Surface form Disambiguated ID Type / Status
Subject FactSet E436444 entity
Predicate foundedBy P104 FINISHED
Object Howard Wille
Howard Wille is an entrepreneur best known as a co-founder of the financial data and analytics company FactSet.
E1312787 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: Howard Wille | Statement: [FactSet, foundedBy, Howard Wille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Wille
Context triple: [FactSet, foundedBy, Howard Wille]
  • A. Henry W. Riecken
    Henry W. Riecken was an American social psychologist and research administrator known for his influential collaborations in social psychology, including work with Leon Festinger.
  • B. Harlan Elldridge
    Harlan Elldridge is a quirky, good-natured supporting character from the American television sitcom "Evening Shade."
  • C. Willard Martin
    Willard Martin was an American architect best known for creating Portland, Oregon’s iconic public space, Pioneer Courthouse Square.
  • D. William Lee Scott
    William Lee Scott is an American actor known for his roles in films like "The Opposite of Sex" and the television series "The Steve Harvey Show."
  • E. Howard W. Koch
    Howard W. Koch was an American film and television producer and director known for his work on numerous mid-20th-century Hollywood movies and for serving as president of the Academy of Motion Picture Arts and Sciences.
  • 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: Howard Wille
Triple: [FactSet, foundedBy, Howard Wille]
Generated description
Howard Wille is an entrepreneur best known as a co-founder of the financial data and analytics company FactSet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard Wille
Target entity description: Howard Wille is an entrepreneur best known as a co-founder of the financial data and analytics company FactSet.
  • A. Henry W. Riecken
    Henry W. Riecken was an American social psychologist and research administrator known for his influential collaborations in social psychology, including work with Leon Festinger.
  • B. Harlan Elldridge
    Harlan Elldridge is a quirky, good-natured supporting character from the American television sitcom "Evening Shade."
  • C. Willard Martin
    Willard Martin was an American architect best known for creating Portland, Oregon’s iconic public space, Pioneer Courthouse Square.
  • D. William Lee Scott
    William Lee Scott is an American actor known for his roles in films like "The Opposite of Sex" and the television series "The Steve Harvey Show."
  • E. Howard W. Koch
    Howard W. Koch was an American film and television producer and director known for his work on numerous mid-20th-century Hollywood movies and for serving as president of the Academy of Motion Picture Arts and Sciences.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aff8748190be5e732f9dbc8dff completed April 19, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f1fd2e48190b7d20d3b72d61e7a completed May 12, 2026, 9:44 p.m.
NEDg Description generation batch_6a039fcd9548819088b6f89a24e5f14e completed May 12, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03a14b22208190b4f18bff55367dc9 completed May 12, 2026, 9:53 p.m.
Created at: April 10, 2026, 10:32 a.m.