Triple

T1000801
Position Surface form Disambiguated ID Type / Status
Subject Tobit E21597 entity
Predicate hasMainCharacter P1183 FINISHED
Object Tobias
Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
 E134005 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: [Tobit, hasMainCharacter, Tobias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tobias
Context triple: [Tobit, hasMainCharacter, Tobias]
  • A. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • B. 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.
  • C. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • D. Caleb
    Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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: [Tobit, hasMainCharacter, Tobias]
Generated description
Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tobias
Target entity description: Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • A. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • B. 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.
  • C. Trevor
    Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
  • D. Caleb
    Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fb18b88190ae2d620aaaff4f90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66179f908190b3f0144d1ee91a1c completed March 7, 2026, 5:53 p.m.
NEDg Description generation batch_69ac66f0e874819092d51913f08905d4 completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac676cb9a08190a83d47de80126677 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:41 p.m.