Triple

T319451
Position Surface form Disambiguated ID Type / Status
Subject Ted E7779 entity
Predicate hasVariant P455 FINISHED
Object Theo
Theo is a given name, often used as a short form of Theodore or related names, that has become a popular standalone first name in many countries.
 E41209 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: Theo | Statement: [Ted, hasVariant, Theo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Theo
Context triple: [Ted, hasVariant, Theo]
  • A. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • B. Jamie
    Jamie is a given name commonly used as a diminutive or variant of James, and is borne by people of all genders in English-speaking countries.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • 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: Theo
Triple: [Ted, hasVariant, Theo]
Generated description
Theo is a given name, often used as a short form of Theodore or related names, that has become a popular standalone first name in many countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Theo
Target entity description: Theo is a given name, often used as a short form of Theodore or related names, that has become a popular standalone first name in many countries.
  • A. Tyler
    Tyler is the officer in a Masonic lodge responsible for guarding the entrance and ensuring only qualified individuals are admitted to meetings.
  • B. Jamie
    Jamie is a given name commonly used as a diminutive or variant of James, and is borne by people of all genders in English-speaking countries.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea7edbc48190b9031bd1af48f72a completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8bb194c8190ad97517695e6f1a2 completed March 1, 2026, 5:03 a.m.
NEDg Description generation batch_69a3c95cf3b48190a5502a6b12fe0e4c completed March 1, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69a3ca63f1c4819086f8959e51976f5c completed March 1, 2026, 5:11 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.