Triple

T13425204
Position Surface form Disambiguated ID Type / Status
Subject Anthropic E313461 entity
Predicate foundedBy P104 FINISHED
Object Evan Hubinger
Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
E1038739 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: Evan Hubinger | Statement: [Anthropic, foundedBy, Evan Hubinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Hubinger
Context triple: [Anthropic, foundedBy, Evan Hubinger]
  • A. Zachary Bostrom
    Zachary Bostrom is an American actor known for his work in film and television, including voice roles in animated productions.
  • B. Gregory Kurtzer
    Gregory Kurtzer is an open-source software entrepreneur and developer best known as the founder of Rocky Linux and the creator of the Singularity (now Apptainer) container platform.
  • C. Colin Allen
    Colin Allen is an author known for his work on the book "Medicine Jar."
  • D. Nicholas Nayfack
    Nicholas Nayfack was a mid-20th-century American film producer best known for his work on influential science fiction cinema.
  • E. Matthew H. Carpenter
    Matthew H. Carpenter was a 19th-century American lawyer and Republican politician from Wisconsin who served as a U.S. Senator and was known for his influential role in Reconstruction-era legal and constitutional debates.
  • 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: Evan Hubinger
Triple: [Anthropic, foundedBy, Evan Hubinger]
Generated description
Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Evan Hubinger
Target entity description: Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
  • A. Zachary Bostrom
    Zachary Bostrom is an American actor known for his work in film and television, including voice roles in animated productions.
  • B. Gregory Kurtzer
    Gregory Kurtzer is an open-source software entrepreneur and developer best known as the founder of Rocky Linux and the creator of the Singularity (now Apptainer) container platform.
  • C. Colin Allen
    Colin Allen is an author known for his work on the book "Medicine Jar."
  • D. Nicholas Nayfack
    Nicholas Nayfack was a mid-20th-century American film producer best known for his work on influential science fiction cinema.
  • E. Matthew H. Carpenter
    Matthew H. Carpenter was a 19th-century American lawyer and Republican politician from Wisconsin who served as a U.S. Senator and was known for his influential role in Reconstruction-era legal and constitutional debates.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed066408190a416880affd8416e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308673488190a64f4b205899605b completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7316101e48190b3ec59a4376a0562 completed May 3, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69f731f8e98c8190becfad8e3a371484 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:40 p.m.