Triple

T21252196
Position Surface form Disambiguated ID Type / Status
Subject Future Foundation E523771 entity
Predicate member P10 FINISHED
Object Korr
Korr is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes and explorers connected to the Fantastic Four.
 E1474511 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: Korr | Statement: [Future Foundation, member, Korr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Korr
Context triple: [Future Foundation, member, Korr]
  • A. Kor
    Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
  • B. Kors
    Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
  • C. Korvel
    Korvel is a residential neighborhood in the Dutch city of Tilburg, known for its mix of urban housing, local shops, and multicultural character.
  • D. Korenlei
    Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
  • E. Korne
    Korne is a river in the Netherlands on which the town of Buren is situated.
  • 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: Korr
Triple: [Future Foundation, member, Korr]
Generated description
Korr is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes and explorers connected to the Fantastic Four.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Korr
Target entity description: Korr is a character associated with Marvel Comics’ Future Foundation, a team of young, highly intelligent heroes and explorers connected to the Fantastic Four.
  • A. Kor
    Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
  • B. Kors
    Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
  • C. Korvel
    Korvel is a residential neighborhood in the Dutch city of Tilburg, known for its mix of urban housing, local shops, and multicultural character.
  • D. Korenlei
    Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
  • E. Korne
    Korne is a river in the Netherlands on which the town of Buren is situated.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ff3bca481909d264dce786d261d completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a099107de508190b4d3d864c33cf7d8 completed May 17, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0991bc8370819087b205185299acce completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 3:57 p.m.