Triple

T12900305
Position Surface form Disambiguated ID Type / Status
Subject Emacs family of editors E308594 entity
Predicate hasMember P10 FINISHED
Object Zile
Zile is a lightweight, Emacs-compatible text editor designed as a small, fast alternative to the full GNU Emacs.
 E1008113 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: Zile | Statement: [Emacs family of editors, hasMember, Zile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zile
Context triple: [Emacs family of editors, hasMember, Zile]
  • A. Joure
    Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
  • B. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • C. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • D. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • E. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • 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: Zile
Triple: [Emacs family of editors, hasMember, Zile]
Generated description
Zile is a lightweight, Emacs-compatible text editor designed as a small, fast alternative to the full GNU Emacs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zile
Target entity description: Zile is a lightweight, Emacs-compatible text editor designed as a small, fast alternative to the full GNU Emacs.
  • A. Joure
    Joure is a town in the Dutch province of Friesland known for its historic role in the coffee and clock-making industries and its location amid canals and lakes.
  • B. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • C. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • D. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • E. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • 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.