Triple

T1217003
Position Surface form Disambiguated ID Type / Status
Subject Ray Kurzweil E26127 entity
Predicate founded P104 FINISHED
Object FatKat
FatKat is an AI-driven hedge fund and investment firm co-founded by futurist and inventor Ray Kurzweil to apply machine learning to financial market prediction.
 E139163 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: FatKat | Statement: [Ray Kurzweil, founded, FatKat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FatKat
Context triple: [Ray Kurzweil, founded, FatKat]
  • A. Dracut
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • B. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • C. Jepsen
    Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
  • D. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • E. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • 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: FatKat
Triple: [Ray Kurzweil, founded, FatKat]
Generated description
FatKat is an AI-driven hedge fund and investment firm co-founded by futurist and inventor Ray Kurzweil to apply machine learning to financial market prediction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FatKat
Target entity description: FatKat is an AI-driven hedge fund and investment firm co-founded by futurist and inventor Ray Kurzweil to apply machine learning to financial market prediction.
  • A. Dracut
    Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
  • B. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • C. Jepsen
    Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
  • D. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • E. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be06d6308190a44c505e6b5e8d42 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831fb6bc8190907f36e52489ec5c completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac839076708190882fe59c80bd3e7e completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac84092f088190894b3ca2a268e5c1 completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:46 p.m.