Triple

T10826506
Position Surface form Disambiguated ID Type / Status
Subject Programming Perl E255509 entity
Predicate author P4 FINISHED
Object Jon Orwant
Jon Orwant is a computer scientist and author best known for his influential work in the Perl programming community and contributions to technical publishing.
E895927 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: Jon Orwant | Statement: [Programming Perl, author, Jon Orwant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Orwant
Context triple: [Programming Perl, author, Jon Orwant]
  • A. Eric Orsborn
    Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
  • B. Andy Horwitz
    Andy Horwitz is a film producer best known for his work on major action and thriller projects in Hollywood.
  • C. Mark Orr
    Mark Orr is a collegiate sports administrator who serves as the athletic director for the Sacramento State Hornets.
  • D. Vince Welnick
    Vince Welnick was an American keyboardist and singer best known for serving as the Grateful Dead’s final keyboard player from 1990 until the band’s dissolution in 1995.
  • E. Michael D’Orso
    Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
  • 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: Jon Orwant
Triple: [Programming Perl, author, Jon Orwant]
Generated description
Jon Orwant is a computer scientist and author best known for his influential work in the Perl programming community and contributions to technical publishing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jon Orwant
Target entity description: Jon Orwant is a computer scientist and author best known for his influential work in the Perl programming community and contributions to technical publishing.
  • A. Eric Orsborn
    Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
  • B. Andy Horwitz
    Andy Horwitz is a film producer best known for his work on major action and thriller projects in Hollywood.
  • C. Mark Orr
    Mark Orr is a collegiate sports administrator who serves as the athletic director for the Sacramento State Hornets.
  • D. Vince Welnick
    Vince Welnick was an American keyboardist and singer best known for serving as the Grateful Dead’s final keyboard player from 1990 until the band’s dissolution in 1995.
  • E. Michael D’Orso
    Michael D’Orso is an American author and journalist known for co-writing influential nonfiction books, often chronicling social justice movements and notable public figures.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b7578688190975c087d28808be5 completed April 17, 2026, 1:53 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:19 p.m.