Triple

T2889444
Position Surface form Disambiguated ID Type / Status
Subject TECO Emacs E59583 entity
Predicate influenced P9 FINISHED
Object ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
 E308592 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: ZWEI | Statement: [TECO Emacs, influenced, ZWEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZWEI
Context triple: [TECO Emacs, influenced, ZWEI]
  • A. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • B. Double D’Z
    Double D’Z is a component or section within the Elevation complex, likely serving as a distinct venue or themed area in that larger establishment.
  • C. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • D. Dweik
    Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
  • E. Truzzi
    Truzzi is the surname of Marcello Truzzi, a noted sociologist and co-founder of the Committee for the Scientific Investigation of Claims of the Paranormal (CSICOP).
  • 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: ZWEI
Triple: [TECO Emacs, influenced, ZWEI]
Generated description
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZWEI
Target entity description: ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
  • A. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • B. Double D’Z
    Double D’Z is a component or section within the Elevation complex, likely serving as a distinct venue or themed area in that larger establishment.
  • C. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • D. Dweik
    Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
  • E. Truzzi
    Truzzi is the surname of Marcello Truzzi, a noted sociologist and co-founder of the Committee for the Scientific Investigation of Claims of the Paranormal (CSICOP).
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04a68ac8190aaeafe52138beb74 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03179d7448190bcdbea164856aaa2 completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b03f0c5bac81909aa21d5963a86c92 completed March 10, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_69b044c1ea3c8190a9ae7c1431d3a3f2 completed March 10, 2026, 4:20 p.m.
Created at: March 6, 2026, 10:04 p.m.