Triple

T18485514
Position Surface form Disambiguated ID Type / Status
Subject Robin Hood Foundation E451677 entity
Predicate foundedBy P104 FINISHED
Object Peter Borish
Peter Borish is an American investor, economist, and philanthropist best known as a founding partner of Tudor Investment Corporation and for his extensive work in charitable and public policy initiatives.
 E1343694 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: Peter Borish | Statement: [Robin Hood Foundation, foundedBy, Peter Borish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Borish
Context triple: [Robin Hood Foundation, foundedBy, Peter Borish]
  • A. Matthew Borish
    Matthew Borish is an actor known for his role in the film "Hack."
  • B. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • C. Peter Gilman
    Peter Gilman is an author whose work served as the basis for the 1963 film "Diamond Head."
  • D. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • E. Peter Melnick
    Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
  • 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: Peter Borish
Triple: [Robin Hood Foundation, foundedBy, Peter Borish]
Generated description
Peter Borish is an American investor, economist, and philanthropist best known as a founding partner of Tudor Investment Corporation and for his extensive work in charitable and public policy initiatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Borish
Target entity description: Peter Borish is an American investor, economist, and philanthropist best known as a founding partner of Tudor Investment Corporation and for his extensive work in charitable and public policy initiatives.
  • A. Matthew Borish
    Matthew Borish is an actor known for his role in the film "Hack."
  • B. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • C. Peter Gilman
    Peter Gilman is an author whose work served as the basis for the 1963 film "Diamond Head."
  • D. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • E. Peter Melnick
    Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d722808190a97828cae8e3846e completed April 19, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a055bab540c81908571c8b2147a63d2 completed May 14, 2026, 5:20 a.m.
NEDg Description generation batch_6a055d0ae0bc81908490b1d8d02ba59d completed May 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a055dab68808190b06832dbcd7f0904 completed May 14, 2026, 5:29 a.m.
Created at: April 10, 2026, 11:35 a.m.