Triple

T17592915
Position Surface form Disambiguated ID Type / Status
Subject NASCAR on NBC E428489 entity
Predicate hasAnalyst P8698 FINISHED
Object Krista Voda
Krista Voda is an American sportscaster best known for her long-time coverage and hosting of NASCAR and motorsports broadcasts on major television networks.
E1276119 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: Krista Voda | Statement: [NASCAR on NBC, hasAnalyst, Krista Voda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krista Voda
Context triple: [NASCAR on NBC, hasAnalyst, Krista Voda]
  • A. Lana Visnjic
    Lana Visnjic is the daughter of Croatian actor Goran Visnjic.
  • B. Blanka Vlašić
    Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
  • C. Ivana Vrdoljak
    Ivana Vrdoljak is a Croatian sculptor and artist best known as the wife of actor Goran Višnjić.
  • D. Milena Vukotic
    Milena Vukotic is an Italian actress known for her work in European art-house cinema and collaborations with directors such as Luis Buñuel and Federico Fellini.
  • E. Izabela Vidovic
    Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
  • 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: Krista Voda
Triple: [NASCAR on NBC, hasAnalyst, Krista Voda]
Generated description
Krista Voda is an American sportscaster best known for her long-time coverage and hosting of NASCAR and motorsports broadcasts on major television networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krista Voda
Target entity description: Krista Voda is an American sportscaster best known for her long-time coverage and hosting of NASCAR and motorsports broadcasts on major television networks.
  • A. Lana Visnjic
    Lana Visnjic is the daughter of Croatian actor Goran Visnjic.
  • B. Blanka Vlašić
    Blanka Vlašić is a Croatian high jumper renowned for her multiple world titles and status as one of the greatest female high jumpers in athletics history.
  • C. Ivana Vrdoljak
    Ivana Vrdoljak is a Croatian sculptor and artist best known as the wife of actor Goran Višnjić.
  • D. Milena Vukotic
    Milena Vukotic is an Italian actress known for her work in European art-house cinema and collaborations with directors such as Luis Buñuel and Federico Fellini.
  • E. Izabela Vidovic
    Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e89acc81908e52138ad4f452c6 completed April 19, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddf81ea0819080e9324e3e72cc47 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01dee081c081909a6a6cbce547aba8 completed May 11, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_6a01df96182c81909bc3f399ccc589f9 completed May 11, 2026, 1:54 p.m.
Created at: April 10, 2026, 5:51 a.m.