Triple

T18528812
Position Surface form Disambiguated ID Type / Status
Subject TinyMCE E452784 entity
Predicate developer P73 FINISHED
Object Ephox
Ephox is a software company best known for providing rich text editing and content creation technologies, including contributions to the TinyMCE editor.
E1328954 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: Ephox | Statement: [TinyMCE, developer, Ephox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ephox
Context triple: [TinyMCE, developer, Ephox]
  • A. Phenax
    Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
  • B. Epher
    Epher is a minor biblical figure traditionally regarded as a descendant of Abraham through Keturah and Midian.
  • C. Erixx
    Erixx is a regional railway company in Germany that operates local passenger train services in Lower Saxony and surrounding areas.
  • D. Fenix
    Fenix is a legendary Protoss warrior from the StarCraft universe, renowned for his bravery, loyalty, and pivotal role in key battles alongside heroes like Tassadar and Jim Raynor.
  • E. Epifan
    Epifan is a historic Russian town that once served as the administrative center of Epifansky Uyezd in the Tula Governorate.
  • 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: Ephox
Triple: [TinyMCE, developer, Ephox]
Generated description
Ephox is a software company best known for providing rich text editing and content creation technologies, including contributions to the TinyMCE editor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ephox
Target entity description: Ephox is a software company best known for providing rich text editing and content creation technologies, including contributions to the TinyMCE editor.
  • A. Phenax
    Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
  • B. Epher
    Epher is a minor biblical figure traditionally regarded as a descendant of Abraham through Keturah and Midian.
  • C. Erixx
    Erixx is a regional railway company in Germany that operates local passenger train services in Lower Saxony and surrounding areas.
  • D. Fenix
    Fenix is a legendary Protoss warrior from the StarCraft universe, renowned for his bravery, loyalty, and pivotal role in key battles alongside heroes like Tassadar and Jim Raynor.
  • E. Epifan
    Epifan is a historic Russian town that once served as the administrative center of Epifansky Uyezd in the Tula Governorate.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fad2d081908395914d6a6b4eb1 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049178ea1c819085480137adfb3841 completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a04921b1a508190b8bb6d6c4597ab99 completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492ba4ea08190b59510b221ad5d21 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.