Triple

T5292778
Position Surface form Disambiguated ID Type / Status
Subject Loves Music, Loves to Dance E119779 entity
Predicate mainCharacter P1183 FINISHED
Object Erin Kelley
Erin Kelley is a lively main character known for her passion for music and her love of dancing.
E527598 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: Erin Kelley | Statement: [Loves Music, Loves to Dance, mainCharacter, Erin Kelley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erin Kelley
Context triple: [Loves Music, Loves to Dance, mainCharacter, Erin Kelley]
  • A. Erin McDermott
    Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
  • B. Erin Reagan
    Erin Reagan is a principled assistant district attorney and member of the Reagan family on the television series "Blue Bloods."
  • C. Lauren Kelly
    Lauren Kelly is a pseudonym used by acclaimed American author Joyce Carol Oates for writing psychological suspense and crime novels.
  • D. Kirsten Corley
    Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
  • E. Kristen Maloney
    Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
  • 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: Erin Kelley
Triple: [Loves Music, Loves to Dance, mainCharacter, Erin Kelley]
Generated description
Erin Kelley is a lively main character known for her passion for music and her love of dancing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erin Kelley
Target entity description: Erin Kelley is a lively main character known for her passion for music and her love of dancing.
  • A. Erin McDermott
    Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
  • B. Erin Reagan
    Erin Reagan is a principled assistant district attorney and member of the Reagan family on the television series "Blue Bloods."
  • C. Lauren Kelly
    Lauren Kelly is a pseudonym used by acclaimed American author Joyce Carol Oates for writing psychological suspense and crime novels.
  • D. Kirsten Corley
    Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
  • E. Kristen Maloney
    Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eec0c081908da5fad1b1fff9d6 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff2ad363481908f3f287052233ae8 completed March 22, 2026, 1:46 p.m.
NEDg Description generation batch_69bff348733081908eee3bffdc93942f completed March 22, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69bff38f5568819097483e2256725ca5 completed March 22, 2026, 1:50 p.m.
Created at: March 20, 2026, 1:52 p.m.