Triple

T299875
Position Surface form Disambiguated ID Type / Status
Subject Classic Mac OS E6173 entity
Predicate includedApplication P1393 FINISHED
Object TeachText
TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
E38942 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: TeachText | Statement: [Classic Mac OS, includedApplication, TeachText]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TeachText
Context triple: [Classic Mac OS, includedApplication, TeachText]
  • A. OpenLearning
    OpenLearning is an online education platform that hosts and delivers massive open online courses (MOOCs) from institutions and educators worldwide.
  • B. Wikibooks
    Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
  • C. Diccionario del estudiante
    Diccionario del estudiante is a Spanish-language dictionary created by the Royal Spanish Academy specifically tailored to the needs and usage of students.
  • D. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • E. French Without Tears
    French Without Tears is a light-hearted 1936 stage comedy by British playwright Terence Rattigan, centered on young adults struggling with language lessons and romantic entanglements at a French seaside school.
  • 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: TeachText
Triple: [Classic Mac OS, includedApplication, TeachText]
Generated description
TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TeachText
Target entity description: TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
  • A. OpenLearning
    OpenLearning is an online education platform that hosts and delivers massive open online courses (MOOCs) from institutions and educators worldwide.
  • B. Wikibooks
    Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
  • C. Diccionario del estudiante
    Diccionario del estudiante is a Spanish-language dictionary created by the Royal Spanish Academy specifically tailored to the needs and usage of students.
  • D. Reading
    Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
  • E. French Without Tears
    French Without Tears is a light-hearted 1936 stage comedy by British playwright Terence Rattigan, centered on young adults struggling with language lessons and romantic entanglements at a French seaside school.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee002dd0819080f0841eb9107ee3 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3aba14b0881908eb4f62ac9261d63 completed March 1, 2026, 2:59 a.m.
NEDg Description generation batch_69a3af5161448190b2051c9533379b3e completed March 1, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69a3afb5fca48190a2bfece390311dca completed March 1, 2026, 3:17 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.