Triple

T12900304
Position Surface form Disambiguated ID Type / Status
Subject Emacs family of editors E308594 entity
Predicate hasMember P10 FINISHED
Object JOVE
JOVE is a lightweight, early Emacs-style text editor known for its small size and suitability for Unix-like systems.
 E1008112 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: JOVE | Statement: [Emacs family of editors, hasMember, JOVE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JOVE
Context triple: [Emacs family of editors, hasMember, JOVE]
  • A. T-jove
    T-jove is a discounted public transport pass in Barcelona designed for young people, allowing unlimited travel within a set period across the integrated metropolitan network.
  • B. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • C. Jusos
    Jusos is the youth organization of Germany’s Social Democratic Party (SPD), representing and mobilizing young social democrats in politics and society.
  • D. Juno Pronuba
    Juno Pronuba is an aspect of the Roman goddess Juno revered as the protector and patroness of marriage and married women.
  • E. Jino
    Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
  • 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: JOVE
Triple: [Emacs family of editors, hasMember, JOVE]
Generated description
JOVE is a lightweight, early Emacs-style text editor known for its small size and suitability for Unix-like systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JOVE
Target entity description: JOVE is a lightweight, early Emacs-style text editor known for its small size and suitability for Unix-like systems.
  • A. T-jove
    T-jove is a discounted public transport pass in Barcelona designed for young people, allowing unlimited travel within a set period across the integrated metropolitan network.
  • B. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • C. Jusos
    Jusos is the youth organization of Germany’s Social Democratic Party (SPD), representing and mobilizing young social democrats in politics and society.
  • D. Juno Pronuba
    Juno Pronuba is an aspect of the Roman goddess Juno revered as the protector and patroness of marriage and married women.
  • E. Jino
    Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
  • 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.