Triple

T7050536
Position Surface form Disambiguated ID Type / Status
Subject Dava Sobel E163752 entity
Predicate givenName P17 FINISHED
Object Dava
Dava is a feminine given name most notably borne by American science writer Dava Sobel.
 E639464 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: Dava | Statement: [Dava Sobel, givenName, Dava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dava
Context triple: [Dava Sobel, givenName, Dava]
  • A. Daur
    The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
  • B. Dawro
    Dawro is an Omotic language spoken primarily by the Dawro people in southwestern Ethiopia.
  • C. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. Namdrik
    Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
  • 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: Dava
Triple: [Dava Sobel, givenName, Dava]
Generated description
Dava is a feminine given name most notably borne by American science writer Dava Sobel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dava
Target entity description: Dava is a feminine given name most notably borne by American science writer Dava Sobel.
  • A. Daur
    The Daur are a Mongolic ethnic group of northeastern China, traditionally living along the Heilongjiang (Amur) River and known for their distinct language, culture, and history as borderland farmers and hunters.
  • B. Dawro
    Dawro is an Omotic language spoken primarily by the Dawro people in southwestern Ethiopia.
  • C. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. Namdrik
    Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24e7e20819099dc8f7fa37c4491 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7888bba9c8190b6414b56e5588ec0 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c788f292a08190bf3543ecfc245d12 completed March 28, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69c789a6ea988190ad2db2442f0a5e8f completed March 28, 2026, 7:56 a.m.
Created at: March 27, 2026, 2:37 p.m.