Triple

T4917653
Position Surface form Disambiguated ID Type / Status
Subject GreekMonsters E110386 entity
Predicate includes P1393 FINISHED
Object PythonSerpent
PythonSerpent is a monstrous serpent from Greek mythology, often associated with oracles and slain by the god Apollo.
 E479307 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: PythonSerpent | Statement: [GreekMonsters, includes, PythonSerpent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PythonSerpent
Context triple: [GreekMonsters, includes, PythonSerpent]
  • A. WebstUR the Spider
    WebstUR the Spider is the costumed arachnid mascot representing the University of Richmond’s athletic teams and school spirit.
  • B. Repyt
    Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
  • C. Maltego
    Maltego is a graphical link analysis and data mining tool widely used in digital forensics and open-source intelligence (OSINT) investigations.
  • D. Brave Search
    Brave Search is a privacy-focused, independent search engine developed by Brave that emphasizes user anonymity and reduced tracking.
  • E. DuckDuckGo
    DuckDuckGo is a privacy-focused internet search engine that emphasizes not tracking users or personalizing search results based on their data.
  • 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: PythonSerpent
Triple: [GreekMonsters, includes, PythonSerpent]
Generated description
PythonSerpent is a monstrous serpent from Greek mythology, often associated with oracles and slain by the god Apollo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PythonSerpent
Target entity description: PythonSerpent is a monstrous serpent from Greek mythology, often associated with oracles and slain by the god Apollo.
  • A. WebstUR the Spider
    WebstUR the Spider is the costumed arachnid mascot representing the University of Richmond’s athletic teams and school spirit.
  • B. Repyt
    Repyt is an ancient Egyptian lioness goddess primarily worshipped at Akhmim, associated with protection and sometimes linked to solar and warlike aspects.
  • C. Maltego
    Maltego is a graphical link analysis and data mining tool widely used in digital forensics and open-source intelligence (OSINT) investigations.
  • D. Brave Search
    Brave Search is a privacy-focused, independent search engine developed by Brave that emphasizes user anonymity and reduced tracking.
  • E. DuckDuckGo
    DuckDuckGo is a privacy-focused internet search engine that emphasizes not tracking users or personalizing search results based on their data.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be71f8bd708190b0a9658e3a4f1db1 completed March 21, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69be72572c748190bcdf9f229f0499cc completed March 21, 2026, 10:26 a.m.
Created at: March 20, 2026, 1:29 p.m.