Triple

T15631063
Position Surface form Disambiguated ID Type / Status
Subject Sex/Life E375811 entity
Predicate executiveProducer P7225 FINISHED
Object Jessika Borsiczky E848152 NE FINISHED

How this triple was built (2 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: Jessika Borsiczky | Statement: [Sex/Life, executiveProducer, Jessika Borsiczky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessika Borsiczky
Context triple: [Sex/Life, executiveProducer, Jessika Borsiczky]
  • A. Jessika Borsiczky chosen
    Jessika Borsiczky is an American television and film producer and writer known for her work on genre and drama series.
  • B. Jessica Szohr
    Jessica Szohr is an American actress best known for her role as Vanessa Abrams on the television series "Gossip Girl" and later as a main cast member on the sci-fi comedy-drama "The Orville."
  • C. Nicole Kruspe
    Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
  • D. Michaela Reichelt
    Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
  • E. Nicole Pechanec
    Nicole Pechanec is a former Stanford and U.S. national team gymnast who later became a sports television producer and analyst.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f44f0b881909ce36823e4314799 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.