Triple

T2315430
Position Surface form Disambiguated ID Type / Status
Subject Kevin Hart E51051 entity
Predicate spouse P13 FINISHED
Object Eniko Parrish
Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
E326584 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: Eniko Parrish | Statement: [Kevin Hart, spouse, Eniko Parrish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eniko Parrish
Context triple: [Kevin Hart, spouse, Eniko Parrish]
  • A. Colleen Sostorics
    Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
  • B. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • C. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • D. Rose Lorkowski
    Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
  • E. Emily Dreyfuss
    Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
  • 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: Eniko Parrish
Triple: [Kevin Hart, spouse, Eniko Parrish]
Generated description
Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eniko Parrish
Target entity description: Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
  • A. Colleen Sostorics
    Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
  • B. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • C. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • D. Rose Lorkowski
    Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
  • E. Emily Dreyfuss
    Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61e72508190b335cda2c7fef130 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20321518c8190a221620074f3428b completed March 12, 2026, 12:04 a.m.
NEDg Description generation batch_69b20532b7388190be5f7bcf48db6f45 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2058d7c4c8190a44fc8745df3b1b3 completed March 12, 2026, 12:15 a.m.
Created at: March 4, 2026, 7:49 p.m.