Triple

T16339916
Position Surface form Disambiguated ID Type / Status
Subject Johann Wilhelm Ludwig Gleim E396769 entity
Predicate familyName P18 FINISHED
Object Gleim
Gleim is a German surname most notably associated with Johann Wilhelm Ludwig Gleim, an 18th-century poet of the Enlightenment era.
 E1207324 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: Gleim | Statement: [Johann Wilhelm Ludwig Gleim, familyName, Gleim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gleim
Context triple: [Johann Wilhelm Ludwig Gleim, familyName, Gleim]
  • A. Cessna 152
    The Cessna 152 is a popular two-seat, single-engine light aircraft widely used around the world for pilot training and recreational flying.
  • B. Jeppesen
    Jeppesen is an aviation-focused company best known for providing aeronautical charts, navigation information, and flight planning solutions to pilots and airlines worldwide.
  • C. Aviatik
    Aviatik was an early 20th-century European aircraft manufacturer known for producing military reconnaissance and fighter planes during World War I.
  • D. Cessna 172
    The Cessna 172 is a four-seat, single-engine, high-wing light aircraft widely used worldwide for flight training and personal aviation.
  • E. Qualiflyer
    Qualiflyer was a European airline alliance led by Swissair that offered coordinated frequent-flyer benefits and joint services among its member carriers.
  • 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: Gleim
Triple: [Johann Wilhelm Ludwig Gleim, familyName, Gleim]
Generated description
Gleim is a German surname most notably associated with Johann Wilhelm Ludwig Gleim, an 18th-century poet of the Enlightenment era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gleim
Target entity description: Gleim is a German surname most notably associated with Johann Wilhelm Ludwig Gleim, an 18th-century poet of the Enlightenment era.
  • A. Cessna 152
    The Cessna 152 is a popular two-seat, single-engine light aircraft widely used around the world for pilot training and recreational flying.
  • B. Jeppesen
    Jeppesen is an aviation-focused company best known for providing aeronautical charts, navigation information, and flight planning solutions to pilots and airlines worldwide.
  • C. Aviatik
    Aviatik was an early 20th-century European aircraft manufacturer known for producing military reconnaissance and fighter planes during World War I.
  • D. Cessna 172
    The Cessna 172 is a four-seat, single-engine, high-wing light aircraft widely used worldwide for flight training and personal aviation.
  • E. Qualiflyer
    Qualiflyer was a European airline alliance led by Swissair that offered coordinated frequent-flyer benefits and joint services among its member carriers.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da09dcf48190b6fdd14b1812c56a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0028275f008190abd10f186bdf9fd2 completed May 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0028e71de88190b48e33f2116e78dc completed May 10, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:07 a.m.