Triple

T14043471
Position Surface form Disambiguated ID Type / Status
Subject The Rapture E337900 entity
Predicate hasFormerMember P1168 FINISHED
Object Jonathan Galkin
Jonathan Galkin is an American music industry executive and co-founder of the influential independent record label DFA Records.
E1083639 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: Jonathan Galkin | Statement: [The Rapture, hasFormerMember, Jonathan Galkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Galkin
Context triple: [The Rapture, hasFormerMember, Jonathan Galkin]
  • A. Mike Sokolsky
    Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
  • B. Alex Gorsky
    Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
  • C. Max Zaritsky
    Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
  • D. Alan Gagloev
    Alan Gagloev is a South Ossetian politician who serves as the de facto leader of the breakaway region recognized by only a few countries.
  • E. Michael Gruskoff
    Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
  • 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: Jonathan Galkin
Triple: [The Rapture, hasFormerMember, Jonathan Galkin]
Generated description
Jonathan Galkin is an American music industry executive and co-founder of the influential independent record label DFA Records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonathan Galkin
Target entity description: Jonathan Galkin is an American music industry executive and co-founder of the influential independent record label DFA Records.
  • A. Mike Sokolsky
    Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
  • B. Alex Gorsky
    Alex Gorsky is an American business executive best known for serving as chairman and CEO of Johnson & Johnson.
  • C. Max Zaritsky
    Max Zaritsky was an American labor leader and union organizer who played a key role in the early development of industrial unionism in the United States.
  • D. Alan Gagloev
    Alan Gagloev is a South Ossetian politician who serves as the de facto leader of the breakaway region recognized by only a few countries.
  • E. Michael Gruskoff
    Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d863ac819085bf5cd76cb2e8dd completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd0070ded48190a2cd1a1f95a48d13 completed May 7, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69fd012728788190b45639644e83afee completed May 7, 2026, 9:16 p.m.
Created at: April 9, 2026, 10:20 p.m.