Triple

T6048171
Position Surface form Disambiguated ID Type / Status
Subject Tore E134719 entity
Predicate hasVariant P455 FINISHED
Object Torey
Torey is a given name, typically used as a variant of names like Tore or Tory.
 E564521 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: Torey | Statement: [Tore, hasVariant, Torey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torey
Context triple: [Tore, hasVariant, Torey]
  • A. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • B. Laurie
    Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
  • C. Tanya
    Tanya is the foundational Chabad-Lubavitch Hasidic work by Rabbi Shneur Zalman of Liadi, presenting a systematic approach to Jewish mysticism, psychology, and spiritual self-improvement.
  • D. Tanya
    Tanya is a common diminutive form of the female given name Tatyana, used in various Slavic and English-speaking contexts.
  • E. Jody
    Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
  • 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: Torey
Triple: [Tore, hasVariant, Torey]
Generated description
Torey is a given name, typically used as a variant of names like Tore or Tory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torey
Target entity description: Torey is a given name, typically used as a variant of names like Tore or Tory.
  • A. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • B. Laurie
    Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
  • C. Tanya
    Tanya is the foundational Chabad-Lubavitch Hasidic work by Rabbi Shneur Zalman of Liadi, presenting a systematic approach to Jewish mysticism, psychology, and spiritual self-improvement.
  • D. Tanya
    Tanya is a common diminutive form of the female given name Tatyana, used in various Slavic and English-speaking contexts.
  • E. Jody
    Jody is a given name used for people of any gender, often as a diminutive of names like Joseph or Judith.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f387cc8190920b846995761aec completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a65164819090883dbad3be5026 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c11423d05c81909298ae598c80ccb0 completed March 23, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69c11498f2948190bcca6b8054186e75 completed March 23, 2026, 10:23 a.m.
Created at: March 22, 2026, 4:09 p.m.