Triple

T20362698
Position Surface form Disambiguated ID Type / Status
Subject Donella Meadows E496821 entity
Predicate givenName P17 FINISHED
Object Donella
Donella is a feminine given name most notably borne by Donella Meadows, an influential American environmental scientist and systems thinker.
E1426272 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: Donella | Statement: [Donella Meadows, givenName, Donella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donella
Context triple: [Donella Meadows, givenName, Donella]
  • A. Sonja
    Sonja is a character from Woody Allen’s satirical film "Love and Death," serving as the witty and philosophical counterpart to the protagonist in its parody of Russian literature and existential themes.
  • B. Sonja
    Sonja is a feminine given name used in various cultures, often considered a variant of Sonia or Sonya.
  • C. Sonja
    Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
  • D. Elana
    Elana is a Polish football club based in the city of Toruń.
  • E. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • 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: Donella
Triple: [Donella Meadows, givenName, Donella]
Generated description
Donella is a feminine given name most notably borne by Donella Meadows, an influential American environmental scientist and systems thinker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donella
Target entity description: Donella is a feminine given name most notably borne by Donella Meadows, an influential American environmental scientist and systems thinker.
  • A. Sonja
    Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
  • B. Sonja
    Sonja is a character from Woody Allen’s satirical film "Love and Death," serving as the witty and philosophical counterpart to the protagonist in its parody of Russian literature and existential themes.
  • C. Sonja
    Sonja is a feminine given name used in various cultures, often considered a variant of Sonia or Sonya.
  • D. Elana
    Elana is a Polish football club based in the city of Toruń.
  • E. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6786efd2c8190821932ddcdef1a2f completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087087c86c8190b9964ba4b82abdec completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:26 a.m.