Triple

T26335369
Position Surface form Disambiguated ID Type / Status
Subject Howard Eiland E662504 entity
Predicate coTranslatorWith P128309 FINISHED
Object Michael W. Jennings
Michael W. Jennings is a scholar and translator best known for his work on the writings of Walter Benjamin and other figures of critical theory and German literature.
 E1904035 NE FINISHED

How this triple was built (3 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: Michael W. Jennings | Statement: [Howard Eiland, coTranslatorWith, Michael W. Jennings]
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: Michael W. Jennings
Triple: [Howard Eiland, coTranslatorWith, Michael W. Jennings]
Generated description
Michael W. Jennings is a scholar and translator best known for his work on the writings of Walter Benjamin and other figures of critical theory and German literature.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: coTranslatorWith
Context triple: [Howard Eiland, coTranslatorWith, Michael W. Jennings]
  • A. coTranslatedWith chosen
    Indicates that two or more entities were translated together as part of the same translation effort, project, or work.
  • B. translator
    Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
  • C. textTranslation
    Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
  • D. translationActivity
    Indicates that an entity is engaged in the process of translating content from one language or form into another.
  • E. canTranslateBetween
    Indicates that an entity has the ability to translate or convert information accurately between two specified languages, formats, or representation systems.
  • F. None of above.

Provenance (6 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_69ee812f32748190871d970c4e2a8ddf completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f6cf3208190816114685e00e96c completed May 2, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2757c7d1d88190aa97fa19408a2151 completed June 9, 2026, 12:01 a.m.
NEDg Description generation batch_6a275a7d33848190ba11aeb45c7e8b83 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b11987081908ec648ce1eeceed3 completed June 9, 2026, 12:15 a.m.
PD Predicate disambiguation batch_69f602d2ec748190ae95154f34c7878f completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 10:36 p.m.