Triple

T21755858
Position Surface form Disambiguated ID Type / Status
Subject Praeger E537036 entity
Predicate hasNotableBearer P458 FINISHED
Object Dave Praeger
Dave Praeger is an author and media producer best known for his humorous non-fiction writing and commentary on contemporary culture.
 E1500985 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: Dave Praeger | Statement: [Praeger, hasNotableBearer, Dave Praeger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dave Praeger
Context triple: [Praeger, hasNotableBearer, Dave Praeger]
  • A. David Schisgall
    David Schisgall is an American screenwriter and filmmaker known for his work on both narrative features and documentaries, including co-writing the comedy film "Our Idiot Brother."
  • B. Dave Rosenberg
    Dave Rosenberg is a technology entrepreneur best known as a co-founder of MuleSoft, a leading integration and API management platform company.
  • C. Michael Jaffe
    Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
  • D. Phil Ondich
    Phil Ondich is an American drummer best known for his work with Zakk Wylde’s heavy metal band Black Label Society.
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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: Dave Praeger
Triple: [Praeger, hasNotableBearer, Dave Praeger]
Generated description
Dave Praeger is an author and media producer best known for his humorous non-fiction writing and commentary on contemporary culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dave Praeger
Target entity description: Dave Praeger is an author and media producer best known for his humorous non-fiction writing and commentary on contemporary culture.
  • A. David Schisgall
    David Schisgall is an American screenwriter and filmmaker known for his work on both narrative features and documentaries, including co-writing the comedy film "Our Idiot Brother."
  • B. Dave Rosenberg
    Dave Rosenberg is a technology entrepreneur best known as a co-founder of MuleSoft, a leading integration and API management platform company.
  • C. Michael Jaffe
    Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
  • D. Phil Ondich
    Phil Ondich is an American drummer best known for his work with Zakk Wylde’s heavy metal band Black Label Society.
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8ea04c8190a8c4fa43b3f23935 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a36706c608190a23129737eefdca9 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a381a4dc48190ae16844baeb3e67e completed May 17, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0a389829448190842a9f3863ffc046 completed May 17, 2026, 9:52 p.m.
Created at: April 16, 2026, 6:50 p.m.