Triple

T12900307
Position Surface form Disambiguated ID Type / Status
Subject Emacs family of editors E308594 entity
Predicate hasMember P10 FINISHED
Object Epsilon
Epsilon is a programmable text editor similar to Emacs, known for its powerful customization features and support for multiple programming languages.
E1008114 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 | Statement: [Emacs family of editors, hasMember, Epsilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epsilon
Context triple: [Emacs family of editors, hasMember, Epsilon]
  • A. Epsilon
    Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
  • B. Epsilon
    Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
  • C. Epsilon I
    Epsilon I is an automotive platform developed by General Motors for front-wheel-drive and all-wheel-drive mid-size vehicles.
  • D. Zeta
    Zeta is a historical region in present-day Montenegro that once formed a medieval principality and early state precursor to the country.
  • E. Zeta
    Zeta is a fintech company known for providing digital payments, banking, and card management solutions, and operates as part of the Directi Group.
  • 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
Triple: [Emacs family of editors, hasMember, Epsilon]
Generated description
Epsilon is a programmable text editor similar to Emacs, known for its powerful customization features and support for multiple programming languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Epsilon
Target entity description: Epsilon is a programmable text editor similar to Emacs, known for its powerful customization features and support for multiple programming languages.
  • A. Epsilon
    Epsilon is the fifth letter of the Greek alphabet, commonly used in mathematics and science to denote small quantities or error terms.
  • B. Epsilon
    Epsilon is a major marketing and data analytics company known for its customer relationship management, data-driven marketing solutions, and digital advertising services.
  • C. Epsilon I
    Epsilon I is an automotive platform developed by General Motors for front-wheel-drive and all-wheel-drive mid-size vehicles.
  • D. Zeta
    Zeta is a historical region in present-day Montenegro that once formed a medieval principality and early state precursor to the country.
  • E. Zeta
    Zeta is a fintech company known for providing digital payments, banking, and card management solutions, and operates as part of the Directi Group.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6179cdc8190976daa1384032445 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a6cbec348190a96a0194b2d6be4b completed May 3, 2026, 1:37 a.m.
Created at: April 9, 2026, 5:40 p.m.