Triple

T6114257
Position Surface form Disambiguated ID Type / Status
Subject Alison E136320 entity
Predicate hasVariant P455 FINISHED
Object Alisson
Alisson is a given name, typically used as a variant spelling of Alison.
E568236 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: Alisson | Statement: [Alison, hasVariant, Alisson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alisson
Context triple: [Alison, hasVariant, Alisson]
  • A. Kurt Zouma
    Kurt Zouma is a French professional footballer known as a powerful central defender who has played in the Premier League and for the French national team.
  • B. Keylor Navas
    Keylor Navas is a Costa Rican professional goalkeeper best known for his starring role in the 2014 World Cup and his Champions League–winning spell with Real Madrid.
  • C. Blake Swihart
    Blake Swihart is an American former professional baseball catcher and utility player who spent several seasons in Major League Baseball, primarily with the Boston Red Sox.
  • D. Mitch Henessey
    Mitch Henessey is a wisecracking private investigator and reluctant hero who partners with amnesiac assassin Charly Baltimore in the action film "The Long Kiss Goodnight."
  • E. Manuel Neuer
    Manuel Neuer is a German professional football goalkeeper widely regarded as one of the best of his generation, known for revolutionizing the "sweeper-keeper" role for both Bayern Munich and the German national team.
  • 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: Alisson
Triple: [Alison, hasVariant, Alisson]
Generated description
Alisson is a given name, typically used as a variant spelling of Alison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alisson
Target entity description: Alisson is a given name, typically used as a variant spelling of Alison.
  • A. Kurt Zouma
    Kurt Zouma is a French professional footballer known as a powerful central defender who has played in the Premier League and for the French national team.
  • B. Keylor Navas
    Keylor Navas is a Costa Rican professional goalkeeper best known for his starring role in the 2014 World Cup and his Champions League–winning spell with Real Madrid.
  • C. Blake Swihart
    Blake Swihart is an American former professional baseball catcher and utility player who spent several seasons in Major League Baseball, primarily with the Boston Red Sox.
  • D. Mitch Henessey
    Mitch Henessey is a wisecracking private investigator and reluctant hero who partners with amnesiac assassin Charly Baltimore in the action film "The Long Kiss Goodnight."
  • E. Manuel Neuer
    Manuel Neuer is a German professional football goalkeeper widely regarded as one of the best of his generation, known for revolutionizing the "sweeper-keeper" role for both Bayern Munich and the German national team.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc0bee08190ab93eae34ea8cdde completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12566fb908190bb9c27fe64f618cd completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c126dd44888190b20a02ede3705918 completed March 23, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69c1276a279c8190a6833c8c986e1291 completed March 23, 2026, 11:43 a.m.
Created at: March 22, 2026, 4:14 p.m.