Triple

T843714
Position Surface form Disambiguated ID Type / Status
Subject Awashonks E18231 entity
Predicate relative P37 FINISHED
Object Tobias
Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
 E105333 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: Tobias | Statement: [Awashonks, relative, Tobias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tobias
Context triple: [Awashonks, relative, Tobias]
  • A. Tobias Read
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • B. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • C. Caleb
    Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • 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: Tobias
Triple: [Awashonks, relative, Tobias]
Generated description
Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tobias
Target entity description: Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • A. Tobias Read
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • B. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • C. Caleb
    Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac07fedc8190ab05595f25c1792f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c016a8a88190965e7c703b0329fb completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c1782d108190825ece29e7532bf6 completed March 4, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7c21dd42881908ac19fed7454d7a9 completed March 4, 2026, 5:24 a.m.
Created at: March 1, 2026, 7:38 p.m.