Triple

T7985521
Position Surface form Disambiguated ID Type / Status
Subject MapReduce E185673 entity
Predicate influenced P9 FINISHED
Object Dryad
Dryad is a general-purpose distributed execution engine from Microsoft Research designed to efficiently run data-parallel applications across large clusters of computers.
 E702187 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: Dryad | Statement: [MapReduce, influenced, Dryad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dryad
Context triple: [MapReduce, influenced, Dryad]
  • A. Pando
    Pando is a sparsely populated, rainforest-covered department in northern Bolivia known for its Amazonian biodiversity and rubber-extraction history.
  • B. Drypetis
    Drypetis was a Persian princess of the Achaemenid dynasty, daughter of Darius III, who became the wife of Alexander the Great’s close companion Hephaestion.
  • C. Dryas
    Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
  • D. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • E. Flora
    Flora is a symbolist painting by Evelyn De Morgan depicting the Roman goddess of flowers and spring in a richly allegorical, Pre-Raphaelite-inspired style.
  • 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: Dryad
Triple: [MapReduce, influenced, Dryad]
Generated description
Dryad is a general-purpose distributed execution engine from Microsoft Research designed to efficiently run data-parallel applications across large clusters of computers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dryad
Target entity description: Dryad is a general-purpose distributed execution engine from Microsoft Research designed to efficiently run data-parallel applications across large clusters of computers.
  • A. Pando
    Pando is a sparsely populated, rainforest-covered department in northern Bolivia known for its Amazonian biodiversity and rubber-extraction history.
  • B. Drypetis
    Drypetis was a Persian princess of the Achaemenid dynasty, daughter of Darius III, who became the wife of Alexander the Great’s close companion Hephaestion.
  • C. Dryas
    Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
  • D. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • E. Flora
    Flora is a symbolist painting by Evelyn De Morgan depicting the Roman goddess of flowers and spring in a richly allegorical, Pre-Raphaelite-inspired style.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4a55b881909a96133e56c0dffa completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e6f3c48190a0132fa90eec6420 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43e47048190a0044477f88de5d0 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0d60254c819087d1de7ca6ea554b completed March 31, 2026, 6:07 p.m.
Created at: March 30, 2026, 5:15 p.m.