Triple

T18796435
Position Surface form Disambiguated ID Type / Status
Subject Epsilon I E459645 entity
Predicate successor P78 FINISHED
Object Epsilon II
Epsilon II is the second iteration or version in the Epsilon series, following and improving upon the original Epsilon I.
 E1342720 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: Epsilon II | Statement: [Epsilon I, successor, Epsilon II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Epsilon II
Context triple: [Epsilon I, successor, Epsilon II]
  • A. Epsilon I
    Epsilon I is an automotive platform developed by General Motors for front-wheel-drive and all-wheel-drive mid-size vehicles.
  • B. Epsilon
    Epsilon is a Japanese solid-fuel orbital launch vehicle developed by JAXA for launching small satellites.
  • C. Epsilon
    Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
  • D. Epsilon
    Epsilon is a lower-tier caste in the World State’s rigid social hierarchy, typically associated with menial labor and limited intellectual development.
  • E. Epsilon
    Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
  • 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: Epsilon II
Triple: [Epsilon I, successor, Epsilon II]
Generated description
Epsilon II is the second iteration or version in the Epsilon series, following and improving upon the original Epsilon I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Epsilon II
Target entity description: Epsilon II is the second iteration or version in the Epsilon series, following and improving upon the original Epsilon I.
  • A. Epsilon I
    Epsilon I is an automotive platform developed by General Motors for front-wheel-drive and all-wheel-drive mid-size vehicles.
  • B. Epsilon
    Epsilon is a Japanese solid-fuel orbital launch vehicle developed by JAXA for launching small satellites.
  • C. Epsilon
    Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
  • D. Epsilon
    Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
  • E. Epsilon
    Epsilon is a lower-tier caste in the World State’s rigid social hierarchy, typically associated with menial labor and limited intellectual 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01ed3c08190890d9518ed69fdee completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05472244488190be57a1bb7d1be5a1 completed May 14, 2026, 3:53 a.m.
NEDg Description generation batch_6a054859b270819081912c2110d30263 completed May 14, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0548f1ed74819090775763f4976a1a completed May 14, 2026, 4 a.m.
Created at: April 10, 2026, 11:53 a.m.